The Amazon Regulatory Intelligence, Safety, and Compliance (RISC) team is seeking an exceptional Applied Scientist to tackle complex compliance challenges. In this high-impact role, you will leverage your deep technical expertise and customer-obsessed mindset to design and evaluate state-of-the-art algorithms in risk modeling, computer vision, and natural language processing.You will translate complex business requirements into well-defined science problems and work collaboratively with product, engineering, and business stakeholders to drive real-world impact. Staying at the forefront of applied machine learning, you will continuously adapt your skills to tackle new challenges.Contributing to Amazon's scientific thought leadership, you will author high-quality research papers for internal and external conferences. This is an opportunity to apply your technical skills in a fast-paced, highly collaborative environment, making a meaningful difference in the lives of Amazon's customers.If you have a passion for solving complex problems and a customer-centric approach, we encourage you to apply for this exciting role.Key job responsibilities- Explore the use of reinforcement learning, multi-agent systems, and meta-learning to build autonomous AI agents that can adapt to new challenges and support complex decision-making.- Design and evaluate state-of-the-art algorithms and approaches in risk modeling, using techniques such as graph neural networks, deep learning, and boosted trees to detect anomalies, fraud, and policy violations.- Develop advanced multi-modal and large language models to classify product content, understand customer intent, and retrieve relevant information.- Collaborate closely with product managers, engineers, and business stakeholders to validate hypotheses, drive adoption, and maximize the real-world impact of your work.- Translate complex product and customer experience requirements into well-defined, measurable science problems and KPIs, contributing to Amazon's scientific thought leadership through high-quality research papers.A day in the life- Understanding customer problems, project timelines, and team/project mechanisms- Proposing science formulations and brainstorming ideas with team to solve business problems- Writing code, and running experiments with re-usable science libraries- Reviewing labels and audit results with investigators and operations associates- Sharing science results with science, product and tech partners and customers- Contributing to team retrospectives for continuous improvements- Participating in science research collaborations and attending study groups with scientists across AmazonBASIC QUALIFICATIONS- PhD, or Master's degree and 5+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- 7+ years of building machine learning models for business application experienceAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

This is a unique opportunity to join a small, high-impact team working on AI agents for health initiatives, with a particular focus on language modeling and recommendation systems. You will collaborate with experts across domains to develop state-of-the-art AI solutions. You'll have the chance to work on projects that could significantly impact how individuals manage their daily health and long-term wellness goals.If you're passionate about solving meaningful problems in healthcare through AI, this role is for you. Technically, you'll work on large-scale data processing, algorithm development, and AI agent implementation. You'll have the chance to learn and innovate alongside healthcare experts.In this early-stage initiative, you'll have significant influence on what we build and how we build it. This is an excellent opportunity for high-judgment scientists to demonstrate impact and make key decisions.Key job responsibilitiesArchitect and implement AI agent systems for health applications. Drive rapid prototyping and deployment of innovative AI solutions into production. Deliver end-to-end AI solutions, from data pipelines to user interfaces. Spearhead best practices in AI engineering, including testing and continuous improvement.A day in the lifeYou'll work with a cross-disciplinary team to plan and deliver AI-driven health and wellness experiences. You'll shape product features, user experience, and team processes for rapid iteration. Expect to challenge conventional approaches and dive deep into customer problems in this evolving field.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

An Integration and Automation Engineer in Project Kuiper - MAC Software Development team is responsible for (1) Integration of the the MAC sub-system with the control-plane, data-plane and radio subsystems of the satellite payload and ground systems, and (2) Test Automation for driving the MAC-SW running on Kuiper payload HW and the RF instrumentation and test set ups (VSA, VNA, VSGs, Satellite Channel Emulators, anechoic chamber control etc.). The engineer will develop integration and test plans working closely with systems engineering, software engineering and hardware engineering and RF integration teams, and develop software in Python/C/C++/LabView for triggering system use cases, executing tests, collecting results and generating reports.Ideal candidate will have integration and test automation experience one or more areas of cellular wireless communication, optical fiber communications, satellite communications switching and routing, industrial control systems, aerospace or instrumentation engineering. Strong scripting skills required in Python and experience with exposure to LabView or similar. Experience of using RF test equipment is desirable. Experience with developing SW C/C++ will be desirable. Export Control RequirementDue to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Key job responsibilities- Software development in Python/LabView/C/C++/Rust- Integration and test plans development closely working with systems engineering, software engineering and hardware engineering and RF integration teams- Develop integration and test automation for driving the MAC-SW running on Kuiper payload HW and the RF instrumentation and test set ups (VSA, VNA, VSGs, Satellite Channel Emulators, anechoic chamber control etc.), for triggering system use cases, executing tests, collecting results and generating reports.BASIC QUALIFICATIONS- 5+ years of python / any scripting languagePREFERRED QUALIFICATIONS- 5+ years of Automated testing and pipeline managementAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Project Kuiper is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individualhouseholds to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.As a Sr. System Development Engineer, you will build tools and processes for monitoring, operating, and scaling ground infrastructure to millions of users around the globe. Use and enhance the tools you and the team develop. Using metrics, scalability in design, and continuous improvement, you will automate repetitive processes to eliminate outages and enable high availability of the ground infrastructure. Key job responsibilities - Continuously strive for operational excellence by seeking to automate away manual processes - Ensure that all systems are designed to be robust, scalable, maintainable and adaptable as the service scales and evolves over time - Build and maintain critical infrastructure, tools and operating procedures to report on the health of ground infrastructure.- Integrate with other existing systems such as trouble ticketing, dashboards, and metrics tools and services- Measure and improve the performance and availability of the Kuiper Ground Infrastructure - Provide critical operations support and incident response for the service, while taking part in an on-call rotationA day in the lifeMentoring, Design, Coding, Operational Excellence: Work with business partners, leadership and other engineers, influence and lead the design of systems. We need your ideas and your ability to take initiative, innovate, and produce results as we continuously improve the customer experience. Day to day work will vary between automation or other scripting work, operational excellence initiatives, design meetings, coordination with engineering teams and external partners, and an on-call rotation.About the teamThe team is comprised of a leader and System Development Engineers in North America, Europe and Australia. The overall mission is to ensure Kuiper Ground Infrastructure is always available to serve customers.BASIC QUALIFICATIONS- 4+ years of deploying and operating in a Linux/Unix environment experience- Knowledge of at least one modern programming language such as C, C++, Java, or Perl- Practical experience in networking, storage systems, operating systems and hands-on systems engineering experience- Designing or architecting (design patterns, reliability and scaling) of new and existing systemsPREFERRED QUALIFICATIONS- Experience writing technical documents, project plans and progress reports to leadership and to stakeholders- Curious to learn in depth about both technology and our customers- A curious self-starter with a proven track record of diving into unknown territory, learning new concepts, and pushing your comfort zone.- An effective multi-tasker who navigates a fast-paced, deadline-driven environment with grace and efficiency.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world.The Senior Electrical Engineer will be a member of the Kuiper Inter-Satellite Link Avionics team, focusing on the design of the various electrical functions including analog sensor signal conditioning and processing, analog actuator control, and overall monitoring and control across spacecraft interfaces.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Key job responsibilitiesIn this role, you will be expected to lead a variety of tasks, from board design and component selection, to layout review, board bring-up, system test and root cause analysis at the subsystem as well as system level. You will be responsible for ensuring high quality and innovative designs, while also supporting other Project Kuiper colleagues with reviewing and improving board and other electrical designs.We are looking for an engineer who combines superb technical and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. You will be expected to work with a team of top-notch engineers and collaborate with multiple other spacecraft design and integration teams. You should be comfortable with a high degree of autonomy and relish the idea of solving problems that haven't been solved at scale before. Along the way, we guarantee that you will learn a lot, have fun and make a positive impact on tens of millions of people.A day in the lifeYou will tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon in different locations. As a Senior Electrical Engineer, your tasks would vary between board design, layout reviews, test plan development and qualification. This is a cross-functional role requiring constant interaction with multiple HW/SW design teams and end-users.BASIC QUALIFICATIONS- B.S. in Electrical/Computer Engineering or related field, or equivalent experience- 7+ years of experience in hardware development across the full product life cycle (concept to production at scale) in Consumer Electronics, Power Electronics, Robotics, Aerospace, Automotive, and/or Communications fields or combination thereof.- Experience with PCB design and debugging, including microprocessors, FPGAs, power supplies, ADCs and sensors- Experience with complex board designs, including high-speed interconnects, high-reliability designs, and/or motor & actuator control electronics.- Experience with schematic and layout ECAD toolsPREFERRED QUALIFICATIONS- M.S. or PhD in Electrical/Computer Engineering or related field- Experience in development and test of satellite bus systems- Experience with integration of systems into aerospace/avionics enclosures- Electronics design/qualification experience with radiation environments or radiation tolerant hardware- Experience developing highly reliable electronics systems for extreme environments- Experience with low-level firmware development and integration- Experience with rapid iteration prototyping and joint hardware/firmware development; partnering with software engineers to bring-up and test new hardware designs- Experience with Mentor Xpedition or other Mentor ECAD tools- Proficiency in at least one modern programming language such as Python or C/C++- Excellent written and verbal communication; ability to explain complex concepts and designs to colleagues across disciplinesAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,600/year in our lowest geographic market up to $213,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain and we’re looking for talented people who want to help.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.AWS EC2 owns the design, planning, delivery, and operation of all AWS server instances. In other words, we’re the people who keep the cloud running. We support all AWS compute, storage, accelerator servers and ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain and we’re looking for talented people who want to help.You’ll join a diverse team of hardware engineers, software engineers, system engineers, technical program managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Key job responsibilitiesAWS hardware Engineering is looking for a customer-obsessed, team-driven technology leader to take our engineering of server hardware and software to the next level. As a server memory leader, you’ll work on Amazon’s hardest problems, building high quality, architecturally sound systems that are aligned with AWS business needs. You will interact with internal and external interdisciplinary teams of engineers to design, develop, validate, launch, monitor and troubleshoot at large scale. This is a fast-paced, intellectually challenging position. At AWS we are changing the industry and want individuals who are ready for a challenge to reach beyond what is possible today.About the team"*Why AWS*Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.*Diverse Experiences*Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.*Work/Life Balance*We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.*Inclusive Team Culture*Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.*Mentorship and Career Growth*We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.“BASIC QUALIFICATIONS- Experience in developing functional specifications, design verification plans and functional test procedures- Bachelor’s degree in Computer Engineering, Electrical Engineering, Electronics Engineering or related discipline- 5+ years of experience identifying & root-causing HW/SW issues in large scale systems- 5+ year of experience with customer support for successive debugging/root-causing memory failure- 5+ years of experience in memory/memory subsystem designPREFERRED QUALIFICATIONS- Master's degree in electrical engineering, computer engineering, or equivalent- 5+ year of experience with new memory technology bring up- 5+ years experience with statistical analysis using large scale data- 5+ years of experience with with leading memory standardization through JEDEC, CPU architecture, RAS, DDR Memory technology, system performance, security and troubleshooting- Repeated success leading architecturally significant projects from inception through launch, including communicating with users, other technical teams, and management to collect requirements, describe product features, and produce technical designs- Excellent communication skills, both written and verbalAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,600/year in our lowest geographic market up to $213,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Annapurna Labs builds custom Machine Learning accelerators that are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Neuron Compiler Engineering team is searching for a Software Development Engineer to support the development infrastructure of a compiler to enable the world's largest ML workloads to run efficiently in the cloud. Amazon Annapurna Labs organization is responsible for silicon development at AWS. Organization covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The AWS Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and Jax, and converts them into code suitable for execution. As a Software Development Engineer on the team, you will be responsible for identifying and designing solutions that enable efficient and reliable build, test, and release mechanisms for the Neuron compiler. You will participate in design and implementation of a solution for distributed execution of the Neuron compiler that will help to run customer workloads more efficiently. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams, bringing new products/features to market, and many other exciting projects.Key job responsibilitiesOur engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You’ll bring a passion for innovation, data, search, analytics, and distributed systems. You’ll also:- Solve challenging technical problems, often ones not solved before, at every layer of the stack. - Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security.- Build high-quality, highly available, always-on products.- Research implementations that deliver the best possible experiences for customers.A day in the lifeAs you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:- Build high-impact solutions to deliver to our large customer base.- Participate in design discussions, code review, and communicate with internal and external stakeholders.- Work cross-functionally to help drive business decisions with your technical input. You will collaborate closely with a cross-functional team comprised of compiler, hardware, and ML engineers.- Work in a startup-like development environment, where you’re always working on the most important stuff.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

AWS Billing is looking for an innovative senior software development engineer with a strong sense of ownership and passion for delivering creative solutions for complex problems at "Amazon scale". You'll be at the forefront of developing next-generation AI-accelerated tools that will revolutionize how we manage and launch taxes for multiple countries in a rapidly growing environment. You'll be responsible for designing, developing, and maintaining large-scale distributed systems that handle global tax calculations and invoice processing for AWS services. You will design highly scalable systems, develop distributed services, and build solid platform solutions based on real-time customer data and demanding service-level agreements. This role combines AI technology with complex tax systems to create scalable solutions for AWS's global expansion. You will collaborate with some of the best engineers in the industry and work on some of the most complex challenges in large-scale computing.Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.About UsHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-live balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.Learn more about Amazon on our Day 1 Blog: https://blog.aboutamazon.com/”Key job responsibilities• Lead technical design and implementation of complex software solutions for tax calculation and invoicing systems• Mentor junior engineers and contribute to the technical direction of the team• Design and implement scalable, highly available distributed systems• Write high-quality, well-tested, maintainable code• Participate in code reviews and promote best practices• Collaborate with product managers and other teams to define technical requirements• Drive operational excellence through monitoring, alerting, and automationBASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering teamPREFERRED QUALIFICATIONS- 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Operating EngineerWhat this job involves:At JLL, we are seeking a skilled Operating Engineer to oversee, monitor, repair, and maintain critical building systems including HVAC, electrical, plumbing, and emergency backup systems. In this hands-on role, you will be responsible for ensuring the optimal performance of essential mechanical and electrical equipment through preventative maintenance, troubleshooting, and repairs. We believe the most effective teams are built when everyone is empowered to thrive, and as part of our engineering team, you'll apply your technical expertise to solve complex problems while maintaining critical building infrastructure. What sets JLL apart is our culture of collaboration, where we support each other's wellbeing while delivering exceptional service to our clients through reliable building operations.What your day-to-day will look like:Monitor, operate, and adjust refrigeration systems, heat exchangers, HVAC equipment, electrical systems, emergency backup systems, and hot water systemsMaintain and adjust refrigeration, chilled water, air conditioning equipment, boilers, ventilation systems, and water heatersMonitor pumps, valves, piping, and filters while recording readings and making adjustments to ensure proper operationAnalyze system operations, diagnose problems/malfunctions, and take appropriate corrective actionsPerform preventative maintenance on base building and critical systems, completing task sheets and properly documenting all workInstall and repair plumbing, piping, and tubing throughout facilitiesWire single and three-phase motors, run conduit, and pull wiring to machinery and equipmentInstall and rebuild pumps, motors, air compressors, and heat exchangersReplace bearings in various motors, install seals on pumps, and repair piping, valves, filters, and control systemsMaintain tools and order supplies required for installations and repairsKeep detailed logs, document equipment repairs, close work orders, and track time accuratelyCommunicate consistently with Operations Managers and Lead Engineers regarding equipment statusAssist other mechanics and operators with major repairs and maintenance projectsRespond to emergency situations and troubleshoot critical system failuresRequired Qualifications:High school diploma or GEDKnowledge of OSHA standards and local building codesMinimum 1 year of electrical, plumbing, and HVAC experienceUnderstanding of mechanical and electrical building systemsAbility to read and interpret technical manuals and blueprintsStrong problem-solving skills and mechanical aptitudeExcellent communication skills and attention to detailAbility to work independently and as part of a teamPhysical capability to meet the demands of the positionPreferred Qualifications:2+ years of related trade schooling or college educationExperience with emergency backup systems (generators, UPS, etc.)Proficiency with Computerized Maintenance Management Systems (CMMS)Experience with various hand and power toolsBackground in commercial building operationsUnderstanding of energy management principlesCertifications in HVAC, electrical, or other related fieldsExperience in preventative maintenance program implementationPhysical Requirements:Ability to visually inspect machinery and buildingsCapability to frequently walk up and down stairs for inspections and emergency proceduresAbility to climb ladders up to 40 feet in heightStrength to lift and carry up to 60 pounds repeatedlyFlexibility to get on hands and knees to access difficult-to-reach areas during equipment inspectionsStamina to work in various environmental conditions including heat, cold, and confined spacesAt JLL, we embrace more innovative ways of working and prioritize opportunities to strengthen and advance your career in facilities engineering. Join our team where we are collectively shaping a brighter way for our clients and ourselves through exceptional technical service and operational excellence. We create a diverse and inclusive culture where everyone feels welcomed, valued, and empowered to achieve their full potential.

Before you apply to a job, select your language preference from the options available at the top right of this page.Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.Job Description:This position troubleshoots, calibrates, and adjusts plant floor devices as necessary to maintain optimal performance of plant floor equipment. This position sorts calls and breakdowns and expedites their completion. This position provides information to maintenance mechanics on how to complete required repairs to resolve breakdown situations. This position assists in solving the daily problems inherent in keeping the conveyors or physical facility in good working order.Responsibilities:Responds to internal customers.Responds to facility alarms and emergencies.Troubleshoots problems that arise.Performs preventative maintenance.Qualifications:Bachelor's degree or international equivalent in engineering - PreferredProgramming experience including troubleshooting, basic understanding of networks, motor control theory, and operation including basic AC and DC electrical troubleshooting - PreferredProficiency in Microsoft Office productsAbility to read and interpret electrical schematics and elementary diagramsOther Criteria:Must be currently located in the same geographic location as the job or willing to relocate yourself - RequiredShift: 12:30 - 21:00 Tues - SatLast day to apply is 8/20/2025Internal Salary Grade: 10EShift Hours: 12:30 - 21:00Employee Type:PermanentUPS is committed to providing a workplace free of discrimination, harassment, and retaliation.Other Criteria: UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/nationalorigin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.Basic Qualifications:Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.Pay Range:Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $28.05/hr to $45.55/hr. Pay is based on several factors including but not limited to, market location and may vary depending on job-related knowledge, skills, and education/training and a candidate’s work experience. Hired applicants are offered annual short-term and/or long-term incentive compensation programs, subject to applicable eligibility requirements. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. The company offers the following benefits for this position, subject to applicable eligibility requirements. Medical/prescription drug coverage, Dental coverage, Vision coverage, Flexible Spending Account, Health Savings Account, Dependent Care Flexible Spending Account, Basic and Supplemental Life Insurance & Accidental Death and Dismemberment, Disability Income Protection Plan, Employee Assistance Program, 401(k) retirement program, Vacation, Paid Holidays and Personal time, Paid Sick and Family and Medical Leave time as required by law, and Discounted Employee Stock Purchase Program.

Join our Generative AI focus team to revolutionize Software Development at AmazonAre you ready to be part of a team that's redefining the future of software engineering Our team is Amazon's ambitious initiative to pioneer AI development practices that will fundamentally transform how we build software at scale. Our MissionWe're creating the next generation of development tools and practices that will deliver unprecedented efficiency gains through AI-powered automation, intelligent code generation, and advanced developer experiences. What Makes Us Different* Ground-floor opportunity to shape the future of software development* Direct impact on Amazon's global engineering productivity* Working with the latest AI technologies and large language models* Culture of experimentation and innovative thinking What We're Looking ForWe are looking for world class researchers with experience in one or more of the following areas -autonomous agents, conversational AI, Search and Recommendation, RAG, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making. What You'll Do* Design and implement AI-powered development tools and frameworks* Create intelligent automation systems for code generation and testing* Develop new methodologies for AI-assisted software development* Collaborate with teams across Amazon to drive adoption of new tools and practices ImpactYour work will directly influence how Amazon's vast engineering organization builds software, enabling faster, more reliable software delivery.Join us in writing the next chapter of software engineering history. The future of development is AI, and it starts here.and yes, what you just read was written in 15 seconds using AI...#AmazonTech #AIInnovation #SoftwareEngineering #FutureOfTechBASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPREFERRED QUALIFICATIONS- Experience using Unix/Linux- Experience in professional software developmentAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Project Kuiper is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individualhouseholds to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.This role is for a highly dynamic and motivated individual that will work with manufacturing engineers to construct instructions and processes for technicians performing test operations. The Test Engineer will support both development and production testing of satellites, and their subsystems. The focus for this role will be in dynamics testing - both vibration table and acoustics. You will work with the designers, systems engineers and analysts to construct detailed work instructions for technicians performing environmental test operations. This role will be responsible for supporting the test team to ensure that tests are conducted in compliance with industry standards as well as internal work instructions. This includes reviewing post-test data, and performing root cause corrective actions for any failures. This position will have the opportunity to collaborate with cross-functional teams to lead process and lab improvement projects.Key job responsibilities- This position will work a 4x10 schedule, Sunday to Wednesday, 4:00 PM to 2:30 AM- Operate test consoles and work with engineering and technician teams to conduct dynamic testing- Review test plans and write work instructions for technicians to set up and execute testing - Analyze post test data and have the ability to write test reports of any non-compliant or off-nominal events- Review failure events and be able to perform root cause analysis and implement corrective actions- Assess safe working conditions and write Job Hazard Analyses for work areas- Ability and desire to work in a hands-on lab environment- Project management skills to accomplish technical projects that span cross functional teams- Establish and increase the efficiency of environmental test processes to maximize output and enable products to rapidly transition from engineering development to rate production- Establish production processes for 5S, FOD control, tool management, calibration procedures and visual management of production tooling and equipment- Enable production test autonomy by challenging requirements, simplifying work procedures, and automating actionsExport Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.A day in the lifeThe Lab Engineer will assist in development and production satellite manufacturing in the environmental test domain. This position will join the team at an exciting moment, with an opportunity to help form the building blocks of creating a truly unique production system. We value data driven decision making, a comfort in dealing with ambiguous situations across multiple projects, and an ability to earn trust of various stakeholders to deliver high quality results.BASIC QUALIFICATIONS- Bachelors degree in Mechanical or Aerospace engineering, or equivalent- 2+ years hands-on environmental test experience, vibration, shock, acoustic in compliance with MIL-STD-810, SMC-S-016, or MIL-STD-1540- 2+ years working with Data Acquisition systems- Familiar with installing test instrumentationPREFERRED QUALIFICATIONS- Experience running force limited vibration testing- Experience running Direct Field Acoustic Testing- Ability to read mechanical and electrical drawings- Familiarity with ICP/IEPE accelerometers, strain gauges, and Force sensors. - Experience with M+P, Kistler, or Vibration Research software and DAS- Experience with creating automated scripts (Python, Matlab, LabVIEW or similar)- Experience with SAP or other Manufacturing Execution System for work instruction authoring- Basic automation experiences (python or similar)- Experience commissioning and troubleshooting test equipment- Demonstrated ability to scale production ratesAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,500/year in our lowest geographic market up to $189,900/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Smart Home team is focused on making Alexa the user interface for the home. From the simplest voice commands (turn on the lights, turn down the heat) to use cases spanning home security, home entertainment, and the home environment, we are evolving Alexa into intelligent, indispensable companion that automates daily routines, simplifies interaction with appliances and electronics, and alerts when something unusual is detected. You will be part of a team delivering features that are highly anticipated by media and well received by our customers.As a Senior Applied Scientist, you will work with other scientists and software developers to design and build the next generation of Smart Home voice control using the latest Large Language Models. And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day. Key job responsibilities- Developing new inference and training techniques to improve the performance of Large Language Models for Smart Home control and Automation- Developing robust techniques for synthetic data generation for training large models and maintaining model generalization- Mentoring junior scientists to improve their skills, knowledge, and their ability to get things doneAbout the teamWe are a team of Scientists, Machine Learning Engineers, and Software Developers that work together to make Alexa more insightful and proactive through ambient intelligence - with features like Alexa Hunches that automatically control Smart Home devices.We are interdisciplinary and we act like it - we ask each other questions and value our different perspectives.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Do you want to build the backbone of Generative AI cloud at AWS Do you want to build the future of the cloud for AI training and inference Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads.You are intrigued by the continuous release of newer AWS services and instance types that solve newer, bigger and more interesting business problems every day Does that make you wish your talents were applied to those at cloud scale If yes, then come join us - we are looking for builders like you. The AWS Hardware Engineering team creates server designs for Amazon’s innovative web services. Our designs are industry-leading in frugality and operational excellence, and are critical to the success of the AWS business and millions of customers who use AWS today. Our engineers solve challenging technology problems, and build architecturally sound, high-quality components to enable AWS to realize critical business strategies. The ideal candidate for this role will be an innovative self-starter. You are knowledgeable of the full technical stack - vertically from baremetal server hardware up to the software in userland, and everything in the middle. You have tremendous interest in cloud scale and curious how systems and software decisions impact the user. You insist on highest-standards and are able to develop tactical solutions/tools to diagnose and fix issues. You are an excellent systems debugger - finding interaction issues between components on server systems. You are a leader with strong organizational, planning, and communication skills. You are a builder! What you will do You will work with engineers across the company for delivering the next-generation AWS platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work.AWS Engineers are shaping the way people use computers and designing the future of cloud computing technology – come help us make history!Why it matters Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS, combined with an understanding of how our software and hardware is used, creates a unique opportunity for component customizations that will directly benefit our customers. Why you will love it You will work with engineers across the company for delivering the next-generation AWS platforms. You will have a direct impact on our bottom line and the ability to deliver improvements for AWS. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work. You will see direct product improvements based on the results of your work.Key job responsibilitiesYou will be a technical leader solving complex architectural problems which may not defined before hand. You will be owning the teams systems and work proactively in identifying deficiencies, writing tactical code to solve issues before they impact customers, and working with your team to scale the solution. You will decompose big difficult server system testability, reliability and diagnosis problems into straightforward tasks, components or features that you will lead to deliver yourself and through others in parallel. You will use combination of hardware, software, system designs, x86 architecture, processes, diagnosis and operations knowledge. A day in the lifeWorking with a variety of job roles (SDEs, SDETs, Hardware Engineers, TPMs, Managers, Principals) and groups (AWS Hardware Engineering, EC2, other AWS services) through server conception, test, launch, and operations. Driving high quality and reliability into future/new designs for AWS Accelerated server solutions for AWS Cloud. About the teamThe Hardware Engineering AI / ML development team is a group of engineers and technical program managers directly responsible for launching hardware in the fleet. Located out of Seattle, Cupertino and Austin we work on programs with global development teams (both internal and external to Amazon). Our servers are located in datacenters globally. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- 6+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience- 6+ years of non-internship professional software development experience- 6+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- 4+ years of systems development in an IT or data center environment experience- 4+ years of deploying and operating in a Linux/Unix environment experience- 6+ years of systems design, software development, operations, automation, and process improvement experience- Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in productionPREFERRED QUALIFICATIONS- 1+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations- Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customersAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain and we’re looking for talented people who want to help.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.AWS EC2 owns the design, planning, delivery, and operation of all AWS server instances. In other words, we’re the people who keep the cloud running. We support all AWS compute, storage, accelerator servers and ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain and we’re looking for talented people who want to help.You’ll join a diverse team of hardware engineers, software engineers, system engineers, technical program managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Key job responsibilitiesAWS hardware Engineering is looking for a customer-obsessed, team-driven technology leader to take our engineering of server hardware and software to the next level. As a cloud server performance engineer, you’ll work on Amazon’s hardest problems, building high quality, architecturally sound systems that meet or exceed the high performance bar, with focus on high speed interconnects, including PCIe. You will interact with internal and external interdisciplinary teams of engineers to design, develop, validate, launch, monitor and troubleshoot hardware and software at large scale. This is a fast-paced, intellectually challenging position. At AWS we are changing the industry and want individuals who are ready for a challenge to reach beyond what is possible today.About the team"*Why AWS*Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.*Diverse Experiences*Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.*Work/Life Balance*We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.*Inclusive Team Culture*Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.*Mentorship and Career Growth*We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.“BASIC QUALIFICATIONS- 5+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience- 5+ years of non-internship professional software development experience- 5+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- 5+ years of experience identifying & root-causing hardware/software system issues in large scale systems- 5+ years of experience writing and implementing functional and performance tests for manufacturing and in field coverage, including telemetry- 5+ year of experience with customer support for successive debugging/root-causing bus interconnect failuresPREFERRED QUALIFICATIONS- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations- Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers- Repeated success leading architecturally significant projects from inception through launch, including communicating with users, other technical teams, and management to collect requirements, describe product features, and produce technical designs- Excellent communication skills, both written and verbal- 5+ years of experience with high speed interconnect, including PCIe- 5+ years of experience with CPU and memory architectures, system performance, security and troubleshooting- 5+ years experience with statistical analysis using large scale dataAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon Web Services is looking for experienced Engineering Leader to help define and build the future of cloud computing! This position is a leadership role with a newly formed EC2 Networking team. You will lead a team contributing towards building a forwarding and encapsulation services in EC2 to support large scale networking and new features within AWS Virtual Private Cloud (VPC).We are growing fast, and are looking for kernel/embedded C programmers who can deliver ultra-high performance - our goal is to be processing many millions of packets per second on embedded CPU cores. This requires both being able to implement highly optimized data structures, but also low level tuning to our hardware. If you have good experience in C/C++, and a passion for systems software engineering such as kernel or embedded development, then this is a unique opportunity to join us in building the platform which is the basis for all new EC2 VPC features in the years to come.You can have an immediate impact for all of our customers including internal customers such as AWS Lambda, and external customers that run on Amazon EC2 as we deploy new features and updates regularly and often.With the extensive network and access to Principal, Sr. Principal and Distinguished Engineers across EC2, AWS and Amazon, there are many stretch opportunities to grow your skills and knowledge.Key job responsibilitiesBeing the tech lead on the team, mentoring junior engineers, ensuring the right development practices are followed.Be very hands-on; work with the engineering team to manage the day-to-day development activities by leading architecture decisions, participating in designs, design review, code review, and implementation.Maintain current technical knowledge to support rapidly changing technology, always on a look out for new technologies and work with management and development team in bringing new technologies.Communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategyBASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering teamPREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Want to help make the next generation of Machine Learning in the cloud possible Do you have a laser focus on performance in your code We want to talk to you! We own the user-space software that makes the Elastic Fabric Adapter (EFA) network card work for Machine Learning (ML) and High-Performance Computing (HPC) customers on AWS. Across multiple projects written in C, our team enables customers to network thousands of GPU and CPU instance types to handle the toughest clustered workloads. Be a part of a dynamic, fast-paced group that has a big impact every day on the hottest companies doing AI and HPC today. Key job responsibilitiesYou will write the highest-performing code in C for multiple open source projects supporting EFA, such as Libfabric and Open MPI. You will work with multiple teams in the stack to invent new APIs for the latest concepts in networking in the cloud. Dive deep into how your customers are doing collectives and messaging at high bandwidth and low latency. Provide expert-level support to some of the biggest names in AI in the world. A day in the lifeStart from the needs of your customer and invent new ways of cutting the occupancy of the software stack for EFA. Get your peers and stakeholders on board with excellent written designs. Write comprehensive tests to drive the development of new features and guard against regressions. Work with our ML Infrastructure team to see your products perform on 100s and 1000s of top-end machine clusters. About the teamWe are a fast-paced team that owns the user-space software stack for EFA. As part of Annapurna Labs in AWS we are very nimble, paying careful attention to what the AI industry is going to try next, and having our products ready. We focus heavily on automation, confining operations to the most interesting problems as customers continuously experiment with what our network can do. Our team is a place of growth, concentrating on your career and goals and motivating you to achieve your highest potential. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- 3+ years of professional experience programming high-performance software in C, ideally as part of an Open Source projectPREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalent- Experience developing in a network software stack, with a focus on cutting occupancy to the barest minimum number of instructionsAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Pay: $84364 - $88033/ year (paid hourly)Schedule: M - F; day shiftLocation: Redmond, WA | Meta campusAssist Lead Engineer with system maintenance and repairs. Leads Apprentice Engineers in the troubleshooting and repair of critical system failures, limiting operational downtime, and re-establishes building services. General diverse knowledge of building systems for recognizing deficiencies. Understands and explains the impact of implementing changes to current systems and cross functional equipment operation.Non-Disclosure Agreement confirming understanding of highest level of confidentiality required to work on behalf of Meta.The backbone of our success will be JLL’ ability to provide Meta - RL and Facilities with professional JLL employees that take ownership and are inspired by this dynamic/critical environment.Reports to Engineering Manager and works directly with Trade Engineers, Lead Engineer, and Apprentice Engineers.Leads operational tasks for site specific teams, leads by example, fulfills the role of training Engineers, and supports operational engineering duties as the needs of the property and client require.With direction from Engineering Management, the Building Engineer executes maintenance actions and provides quality control for the following:Tracking logs and files, where appropriate, to include, but not limited to; chemical consumption logs and other equipment or operation inspection logs specific to the propertyAssisting with existing system operation and performing preventative maintenanceConducting and assisting with development of best practicesCoordinating with Lead Engineer and Apprentice Engineers to ensure quality services are completed on scheduleAssist in implementation of system specific Standard Operating Procedures (SOP)Assist in execution of Method of Procedure (MOP)Assist with critical system shutdown and start-upProvide prompt and courteous response to tenant requests within the guidelines set forth by JLLMaintain ethical, professional, and courteous relations with contractors and tenantsDemonstrate full competency in all current JLL and property emergency procedures including but not limited to:Assist with directing building occupants with evacuationsAssist with life safety system alarmsAssist emergency authorities and response teamsUtilize fire alarm and life safety systems at assigned property and make adjustments and changes as needed (as allowed)Adhere to all JLL and property policies and procedures and perform all duties in a safe manner and help ensure compliance with city, state and federal safety and environmental laws, codes, standards, and regulations.Actively participate in required training activities and seminarsApply knowledge of how each of the components in the building systems relates operationally to one another and modify and/or install new system(s) as neededIdentify potential causes for failure of a system(s) and prioritize repair processAbility to efficiently handle and coordinate multiple tasks and project assignmentsInteract with employees, visitors, and contractors with poise and diplomacyMaintain calm demeanor in emergency situationsSkill requirements to perform assigned duties:Collaborate with fellow engineering team members during maintenance and troubleshooting processesPerform general repairs, maintenance and replacement of building components including, but not limited to; building fixtures, plumbing, electrical and A/C controlsAbility to function mostly autonomousInterpret instructions in written, oral, and diagrammatic or schedule formPossess initiative to assume additional responsibilitiesCommunicate effectively both verbally and writtenRead and use all types of testing equipment, analog digital multi-meters, pressure and temperature indicating and recording devices, air flow measuring devices, and leak detection devicesKnowledge and proper use of basic hand tools (i.e. socket sets, wrenches, pliers, screwdrivers, saws, and hammers, etc.)Understand correct usage of power tools, drill motors, saws, grinder, impact wrenches, etc. (pneumatic, electric or engine drive)Read and understand a variety of instructions, including equipment instruction manuals (including written, oral, or schedule forms)Understand correct usage and donning of all Personal Protective Equipment (PPE)Experience requirements to perform assigned duties:3+ years of experience as a Building Engineer or equivalent facilities technical trade w/ strong commercial HVAC skillsDemonstrated diplomatic supervisory skills and ability to influence other engineersWorked within lab and cleanroom environments (recommended)Experience working within high stress and demand environmentsWorked with vendors for work execution and quality controlEducational requirements to perform assigned duties:High school diploma or equivalentSpecific license(s) applicable to trade (recommended or working towardsObtain required city and/or government licenses or permits (i.e. Boiler Operator's license, Maintenance Electrician’s License, EPA CFC Universal Certification Technician certificate, refrigeration operator/mechanic's license etc.)Working conditions to perform assigned duties:Indoors - 40%Outdoors - 60%Meet the shift working requirements of the assigned property; shifts may include early mornings, late evenings, weekends, and holidaysWork overtime as business needs deem appropriateWilling to be on call in a rotational scheduleEmergency response to limit operational downtime

The Brand Intelligence and Agentic AI program represents the voice of customers with respect to brands: brand recognition, reputation, value, quality, and overall appeal. The team as part of Amazon Retail tech org is hiring an experienced Sr. Applied Scientist to guide the team on science strategies, design ML solutions (including the new Agentic AI agents) to solve customer-facing brand shopping challenges at scale, and grow and influence the broader science community. The team uses Machine Learning, Deep Learning, LLM and Agentic AI to derive actionable insights from understanding customer shopping intent and preferences on brands (well recognized brands, premium brands, new and trending brands, relevant top brands matching customer searches, or individual customer-level brand preference), and develop and experiment with ML solutions to deliver business impact. We also start working with marketing team to build AI agents to assist them better in their marketing journey with brands insights and knowledge. We are a science-focused team incubating and building disruptive solutions to solve large-scale shopping recommendation and personalization problems to assist our customers easily discover relevant and valuable brands and selection, as well as to help brand owners being successful to reach promising customers.This is a unique, high visibility opportunity for someone who wants to have direct impact solving customer-facing problems, dive deep into large-scale science problems esp. in the new Agentic AI world, enable measurable actions on the Consumer economy, and work closely with scientists. Key job responsibilitiesWork with Product and Engineering to shape the product vision and provide forward-looking science strategies.Lead scientists design and build machine-learning and LLM solutions.Collaborate with partner teams on customer-facing search and browse experiences that will utilize the data and ML models to better serve customers' brand shopping experience.Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.Drive continued scientific innovations (Agentic AI e.g.) as a thought leader and practitioner, and understand marketing needs on brands understanding. Provide technical and career development guidance to both scientists and engineers in the organization.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 3+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.As a Mission Operations Engineer on the Optical Inter-Satellite Link (OISL) team, you will own and execute the overall operational success of these payload and bus functions at a systems level and coordinate between engineering teams across ground, network, and space systems to achieve it. Because of the scale of the mission, you will be focused on driving automation and operational excellence identifying areas of improvement and initiating changes to improve the productivity of the fleet and optical network.You will coordinate and prepare for each launch and on-orbit demonstrations, design and conduct operational rehearsals, and drive automation efforts with scalability in mind, ensuring that the constellation functions at peak performance with little-to-no manual intervention. You will develop concepts for OISL network operation for missions and experiments, participate in launch and early operations, develop and perform analysis on system data, and identify areas and mechanisms for further improvement.The ideal candidate will be detail-oriented, have strong verbal and written communication skills, strong organizational skills, be able to juggle multiple tasks at once, be able to work independently, and maintain professionalism under pressure. You should have knowledge in space system design, optical systems, and software engineering practices.Key job responsibilities* Design, conduct, and participate in operational rehearsals* Coordinate and participate in all launch, early operation, and other critical activities* Develop concepts for OISL network operation for missions and experiments* Develop and perform analysis on system data, and identify areas and mechanisms for further improvement* Drive automation efforts with scalability in mind, ensuring that satellite and constellation function operate at peak performance with little-to-no manual intervention * Develop and execute integration vehicle test plans* Work closely with software, hardware and systems engineersBASIC QUALIFICATIONS- Proficiency in automating, deploying, and supporting large-scale infrastructure- Proficiency programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust- Proficiency with Linux/Unix- Experience with CI/CD pipelines build processes- BS degree or higher in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Science or related discipline- Experience with basic space system architecture and subsystem functionalityPREFERRED QUALIFICATIONS- 3+ years of experience in the Aerospace industry- Demonstrated technical understanding of: spacecraft design, spacecraft launch and on-orbit operations, spacecraft guidance+navigation+control, terrestrial and satellite communications systems and networking- Data-driven engineering approach and ability assess system performance with statistical analysis- Demonstrated ability to drive requirements for concepts of operation and space systems- Familiarity with software development lifecycle, including requirements development and integrated testingAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $116,300/year in our lowest geographic market up to $201,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Join us in revolutionizing how millions of customers discover and interact with the web. The Silk team is building the next evolution of browsing - one that transforms passive web consumption into an intelligent, AI-powered experience that understands and anticipates user needs.About the RoleAs a Senior Applied Scientist on the Silk team, you'll be at the forefront of defining and building the future of web browsing in the AI era. This is a unique opportunity to shape both the scientific vision and product direction of a next-generation browser that will fundamentally change how customers shop, discover content, and engage with the web. You'll have the freedom to innovate across multiple advanced domains including:- Large language models and generative AI for intelligent browsing assistance- Advanced recommender systems for personalized content discovery- Natural language processing for deep web content understanding- Novel AI applications that transform traditional browsing paradigmsWhy This Role MattersThe browser is one of the most fundamental tools of the modern internet, yet the core browsing experience has remained largely unchanged for decades. At Silk, we're reimagining what a browser can be by integrating advanced AI capabilities that make web interactions more intuitive, efficient, and valuable for our customers. As a senior scientific leader, you'll have unprecedented opportunity to:- Define and own the technical vision for AI-powered browsing experiences that impact millions of users- Pioneer new approaches to web interaction that combine browsing with intelligent assistance- Build novel solutions that bridge content discovery, shopping, and entertainment- Drive innovation in areas like intelligent content summarization, shopping assistance, and AI-powered browsing tools- Shape the future of how customers interact with the vast knowledge and capabilities of the webImpact and LeadershipThis role combines scientific leadership with product ownership and technical execution. You'll:- Lead the definition and development of Silk's AI strategy and roadmap- Drive technical decisions that shape our product direction- Mentor and grow other scientists while building a culture of innovation- Collaborate with product and engineering leaders to bring scientific innovations to life- Influence the broader direction of Amazon's AI initiativesKey Responsibilities- Conceptualize and lead innovative research in ML and AI that transforms web browsing- Design scalable AI solutions that power next-generation browsing experiences- Guide technical approaches for complex ML projects while working with cross-functional teams- Drive deep data analysis to uncover customer insights and identify new opportunities- Work closely with engineering teams to bring ML innovations to production- Lead improvements in model scalability, efficiency, and automation- Stay at the forefront of ML research and apply relevant innovations- Contribute to Amazon's scientific community through publications and knowledge sharingWhy You'll Love ItYou'll work on challenging problems at massive scale while having direct impact on how millions of customers interact with the web daily. Our team combines the innovative culture of a startup with the resources and scale of Amazon. You'll have:- End-to-end ownership of scientific solutions that power next-generation browser experiences- Freedom to experiment with new ideas and approaches- Access to vast computational resources and unique datasets- Opportunity to work with and learn from world-class scientists and engineers- Direct influence on product strategy and technical direction- Platform to publish research and contribute to the scientific communityJoin us in building the future of intelligent web browsing that combines AI innovation with customer-centric experiences. This is your opportunity to reimagine one of computing's most fundamental tools and shape how the next generation discovers and experiences the web.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Are you excited to solve problems at the cutting edge of cloud computing Do you want to build and own services providing some of the key features at the core of Amazon's Elastic Cloud Compute (EC2) infrastructure Do you want to work hard, have fun, and make history If so come work for us in EC2 Networking!EC2 Networking is crucial for Amazon’s long-term success as a technology services company. It is the future of Amazon, and we are rapidly expanding our team to meet our fast growing needs. The EC2 team is looking for talented software engineers to help us build new innovative features driving the future of cloud computing, and the tools to help us operate in this space.We want people who are passionate about writing software for managing large dynamic networks. If you are an engineer with a solid background of delivering innovative solutions, then this is your opportunity to own major deliverables and all aspects of the development cycle: scoping, design, implementation, and testing. You will be encouraged to exercise your judgment in proactively determining and recommending the best features, designs, and support models based on business objectives, timelines, and resource constraints.Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the futureKey job responsibilities - Being the tech lead on the team, mentoring junior engineers, ensuring the right development practices are followed. - Being very hands-on; working with the engineering team to manage the day-to-day development activities by leading architecture decisions, participating in designs, design review, code review, and implementation. - Maintaining current technical knowledge to support rapidly changing technology, always on the look out for new technologies and working with management and development team in bringing new technologies. - Communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy For more information on Amazon Web Services please visit: http://aws.amazon.com/A day in the lifeA day in the life of an EC2 engineer is very hands on, with each day bringing new and exciting technical challenges to work through including architecture and design decisions, participating in code reviews, implementation, and project planning for current and future work. Additionally, there is a balance of operations related activities to participate in. Communication with external teams as well as AWS customers is also frequent and can be expected on a weekly basis.BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering teamPREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Utility Computing (UC)AWS Utility Computing (UC) provides product innovations from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Server Hardware Engineer (aka Lead Engineer (LE)). Amazon Web Services (AWS) Hardware Engineering team creates compute, storage, accelerator, and enterprise servers for Amazon’s innovative web services. We are seeking experienced hardware design engineers to design and build next-generation servers and AWS specific hardware components. Our designs are industry-leading in performance, frugality and operational excellence, and are critical to the success of the AWS business and the more than one million customers who use AWS today. Our Hardware Engineers solve challenging technology problems, and build architecturally sound, high-quality servers and components to enable AWS to realize critical business strategies. Our success depends on our highly respected server infrastructure; we’re handling massive scale and rapid integration of emergent technologies.What you will do: As a member of the Edge team, you’ll be responsible for integration of hardware/software components to build our servers, working with service teams to define products, and supporting operations in all the locations we have servers. You will interact with engineers across the company and work with an interdisciplinary team to execute product designs from concept to production including design, development, validation, and the deployment of servers at scale.You will solve design challenges across many disciplines including server/board design, thermal-mechanical design, server firmware/software, integration into our software service control plane, manufacturing, and operations. You will deliver functional block diagram, schematics, specifications, analysis, test plans, and monitoring plans used to build our servers and components. You will work closely with internal teams, suppliers, and external partners to ensure our designs are of the highest quality. You will lead cross-organizational teams to improve key factors such as total cost of ownership, quality, reliability, performance, and serviceability. You will be an end-to-end owner from concept, design, launch, and operation in our fleet. You will be hands on and comfortable with the entire technology stack from the service software all the way down to the silicon. You will use high judgement to solve problems individually or guide others when help is needed.This is a fast-paced, challenging position, and you’ll work with thought leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your products performance, quality and cost. We’re changing an industry, and we want team members who are ready for this challenge and want to reach beyond what is possible today.Why it matters: Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS, combined with an understanding of how our hardware is used, creates a unique opportunity for hardware customizations that will directly benefit AWS customers.Why you will love it: You will work directly with engineers across the company to build next-generation hardware. You will have a direct impact on our bottom line and the ability to deliver improvements for our customers. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work.Key job responsibilitiesAs Server Hardware Engineer you will be responsible for bringing new technology to our server & products as well as scaling how we operate our massive existing & rapidly growing fleet.You will collaborate with internal development teams and external suppliers to deliver new servers with industry leading performance and qualityYou will establish strategic vision and drive execution in defining and delivering new products and servicesYou will lead the integration and delivery of servers, support the development of automated monitoring, and failure analysis services to operate, debug, and scale our serversYou will work closely with other AWS software teams to tailor and operate servers solutions for the AWS environmentYou will support launching our servers into production and operating our fleet of serversA day in the lifeYour day to day responsibilities will include interfacing with our internal and external customers to understand project requirements and facilitate system development on top of your server design. You will be responsible for solving operational challenges to our existing fleet with the goal of improving the current customer experience as well as developing improved systems for future designs. You will work directly with vendors and ODM/JDM design teams to develop and manufacture your product at scale.About the teamThe team is comprised of both Hardware Design Engineers, System Design Engineers, Software Development Engineers and Technical Program Managers, all with the common goal of delivering the best specialized server fleet possible to our customers.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- BS Electrical/Computer Engineering (or equivalent experience)- 7+ years of experience in hardware system, board, and component design.- 7+ years of experience with high speed interface protocols such as DDR, PCIe, and ethernet- 7+ years of experience in collaborating with the ECAD/physical board designer and able to review PCB designs with Allegro, CAM350, or equivalent.- 7+ years of experience in developing functional specifications, design verification plans and functional test procedures- 7+ years of experience in board and server root cause analysis and resolutionPREFERRED QUALIFICATIONS- Master’s degree in Electrical Engineering, Computer Engineering, or related field- 15+ years of experience in server design for cloud or enterprise applications- Strong expertise motherboard and peripheral component design, PCB design, schematic capture, stackup, and circuit board layout.- Experience in designing for reuse across multiple products- Experience with server technologies such as: power optimization, thermal, mechanical, BIOS, BMC, signal integrity, networking.- Commitment to rigorous testing practices and design process flows- Strong organizational and planning skill- Desire to work in a fast-paced environment- Ability to resolve complex issues in creative ways- Excellent written (white papers) and oral communication skills- Experience in component selection and understanding of component reliability.- Experience in design for large scale applications.- Experience working with interdisciplinary teams to execute product design from concept to production.- Experience with the management of technical programs a plus.- Meets/exceeds Amazon’s leadership principles requirements for this role.- Meets/exceeds Amazon’s functional/technical depth and complexity for this role.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,600/year in our lowest geographic market up to $213,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. AWS Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments.The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at AWS. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations.The AWS Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum leap in performance.You: Machine Learning Compiler Engineer II on the AWS Neuron team, you will be supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and implementing business-critical features, publish cutting-edge research, and contributing to a brilliant team of experienced engineers excites and challenges you. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in Machine Learning and AI accelerators is preferred, but not required.About the teamAbout UsInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of experience architecting and optimizing compilers- Proficiency with 1 or more of the following programming languages: C++ (preferred), C, PythonPREFERRED QUALIFICATIONS- M.S. or Ph.D. in Computer Science or related field- Experience with multiple toolchains and Instruction Set Architectures- Proficiency with resource management, scheduling, code generation, and compute graph optimization- Experience optimizing Tensorflow, PyTorch or MxNET deep learning modelsAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

At Amazon Web Services (AWS), we’re inventing the future of cloud computing with a team of builders who embrace new ideas and dream big. Our web services provide a platform for cloud computing infrastructure that’s used by hundreds of thousands of developers and businesses worldwide. A decade ago, we couldn't have imagined how far we’d come. Now we're inventing for the next decade and beyond. We believe every day is still day one.The AWS Sales, Marketing, and Global Services Operations (SMGS Ops) AWS Field Experience (AFX) Planning Tools team is looking for a passionate, innovative, results-oriented Senior Software Development Engineer to build solutions that make it simpler for our field team to manage and operate at scale. As a Sr. SDE on the AFX - Planning Tools team, you’ll contribute to defining and building the world class Planning Tools built on AWS Services for the AWS Sales organization. In addition to working on the latest AWS and technologies, you’ll have the opportunity to innovate in the space of Sales Planning and Management. You’ll be chartered with creating and operating applications that deliver critical capabilities to the field, and with embedding operational knowledge and encoding best practices into everything we do.SMGS Ops is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.Key job responsibilities* Having significant influence on our overall strategy by helping define these product features, drive the system architecture, and spearhead the best practices that enable a quality product.* Responsible for solving algorithmically complex problems; building services that can scale to millions of requests and deployed globally delivering an exceptional customer experience.* Building systems that will impact millions of customers and create multi-million dollar revenue opportunities, ship in just a couple of weeks and instantly measure the dollar value of what you have developed.* Using advanced technologies and AI to infer various datasources and signals to provide most relevant suggestions to our customers and to improve the discovery of items.* Working with a group of top-notch software developers and data engineers, seasoned product and program managers, and creative visual designers who form a great team to raise the bar on the customer experience.A day in the life* Having significant influence on our overall strategy by helping define these product features, drive the system architecture, and spearhead the best practices that enable a quality product.* Responsible for solving algorithmically complex problems; building services that can scale to millions of requests and deployed globally delivering an exceptional customer experience.* Building systems that will impact millions of customers and create multi-million dollar revenue opportunities, ship in just a couple of weeks and instantly measure the dollar value of what you have developed.* Using advanced technologies and AI to build productsAbout the teamThe SMGS Ops - AFX - Planning Tools team shares a passion for delivering superior products, innovating using advanced technologies, and impacting the AWS business in a meaningful way. We're eager to connect with individuals who are comfortable with ambiguity, enjoy solving large-scale business challenges, and thrive in a startup-like environment.About AWSDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering teamPREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Over the past 20 years, Amazon has reinvented on behalf of the consumer and has become one of the largest internet retailers in the world. Amazon is now reinventing on behalf of the business customer and is building the most innovative Business-to-Business (B2B) online store in the world.At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations reimagine buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes, unlocking our potential worldwide.The Analytics Data Product & Tech (ADAPTech) team is a strategic partner to the WW Sales organization, playing a key role in driving sales productivity through three primary workstreams. First, the Analytics team provides data-driven insights and reporting tools to measure business, customer, and employee performance. Second, the Products and Science team develops transformative tools that help Account Executives (AEs) to prioritize accounts, recommend product features, and engage more effectively with customers. Finally, the Data Management and Governance teams ensure AEs have access to accurate and enriched customer information across our tools. We're seeking an Applied Scientist to join our team working on AVA, Amazon Business's AI-powered email automation system. You'll be part of expanding AVA's GenAI capabilities and scaling its impact across global markets.A successful Applied Scientist at Amazon demonstrates bias for action and operates in a startup environment, with leadership skills, and proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded. We need great leaders to think big and design new solutions to solve complex problems using machine learning (ML) and Generative AI techniques to improve our customers’ experience when using AB. You have hands-on experience making the right decisions about technology, models and methodology choices.Key job responsibilitiesAs an Applied Scientist, you will primarily leverage machine learning techniques and generative AI to outreach customers based on their life cycle stage, behavioral patterns, and purchase history. You may also perform text mining and insight analysis of real-time customer conversations and make the model learn and recommend the solutions. Your work will directly impact the trust customers place in Amazon Business.You will partner with product management and technical leadership to identify opportunities to innovate customer journey experiences. You will identify new areas of investment and work to align product roadmaps to deliver on these opportunities. As a science leader, you will not only develop unique scientific solutions, but also play a crucial role in shaping strategies.Additional responsibilities include:-Design, implement, test, deploy and maintain innovative data and machine learning solutions to further the customer experience.-Create experiments and prototype implementations of new learning algorithms and prediction techniques-Develop algorithms for new capabilities and trace decisions in the data and assess how proposed changes could potentially impact business metrics to cater needs of Amazon Business Sales-Build models that measure incremental value, predict growth, define and conduct experiments to optimize engagement of AB customers, and communicate insights and recommendations to product, sales, and finance partners.A day in the lifeIn this role, you will be a technical expert with significant scope and impact. You will work with Technical Product Managers, Data Engineers, other Scientists, and Salesforce developers, to build new and enhance existing ML models to optimize customer experience. You will prototype and test new ideas, iterate quickly, and deploy models to production. Also, you will conduct in-depth data analysis and feature engineering to build robust ML models.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience with SQL, Python and Data Warehouse- Experience in building text/speech recognition, machine translation and natural language processing systems (e.g., emails, phone conversations)PREFERRED QUALIFICATIONS- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning- Experience working on personalisation, customer journey analysis and realtime chatbot interactions.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Have you ever wanted to be part of a team who is building industry changing technology Amazon’s Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband network connectivity to unserved and underserved communities around the world.As a PCBA Manufacturing Test Engineer, you will be responsible for deployment, qualification, continuous improvement of test systems, processes, and procedures at CM (Contract Manufacturing) sites for Satellite PCBAs. You will be a key member of PCBA Manufacturing team and will be the main interface between Kuiper’s internal test development teams and our manufacturing partners. You will ensure successful test deployment by documenting procedures, training CM personnel, and providing ongoing onsite support. You will have excellent debugging skill with the ability to dive deep and determine the root-cause of test failures.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Key job responsibilities• Develop test strategies, implement and optimize test setup/processes at Contract Manufacturing sites including identification, specification, design and qualification of test fixtures, test equipment, and maintenance programs.• Perform PCBA debug and root-cause failure analysis at Contract Manufacturing sites. Create runbooks and provide training for technicians to perform PCBA debug.• Work with the R&D and Test Development teams to continuously improve test systems, software, fixtures, and procedures to improve test effectiveness and throughput.• Analyze data to identify failure trends and provide recommendations for PCBA, process, and test system improvement.• Develop procedures and documentation for use by test operators.• Train operators on test processes and support recurring certification programs.• Provide feedback to the Test Development team on test coverage, fault isolation capability, PCBA failure trends, and DFT (Design for Test) recommendations.• Run small teams to accomplish short-term objectives and implement strategic initiatives.A day in the lifeCome solve the difficult and rewarding engineering challenges in developing a highly reliable, power efficient, high performance, low-cost satellite system. As a PCBA Manufacturing Test Engineer, you have the ability to dive deep on the details to identify, understand and solve difficult technical problems and also utilize a system level approach to prioritize issues for the whole program. You thrive in a hands-on environment and will spend time in the office, on the factory floor, at manufacturing partners, and in the lab to execute the Project Kuiper mission.About the teamThe PCBA Manufacturing Test Engineering team delivers and deploys test systems for all Kuiper satellite PCBAs. This is an inclusive, inter-disciplinary team that is committed to performance, quality, & reliability. Your breadth of exposure will be immense as you collaborate with other core groups, helping to guide the test systems from design to production and operation.BASIC QUALIFICATIONS- Bachelor’s Degree in Electrical Engineering, Electrical Engineering Technology, or related field- 5+ years of experience deploying, using, and training others on the use of complex test systems including RF functional tests, high power electrical tests, ICT/bed-of-nails fixtures, and Flying Probe test.- 5+ years of experience integrating software and hardware systems.- 5+ years’ experience in the use of standard electronic lab test equipment (i.e., oscilloscopes, multimeters, etc.) to debug complex PCBAs.- Ability to write detailed test station operating procedures- Ability to create deployment/capacity plans for multiple testers at multiple CMs- Experience with Linux/scriptingPREFERRED QUALIFICATIONS- 7+ years of experience deploying, using, and training others on the use of complex test systems including RF functional tests, high power electrical tests, ICT/bed-of-nails fixtures, and Flying Probe test.- Experience with test plans and protocols related to established Space Hardware test processes (GEVS / SMC-S-016).- Knowledge of software tools for test automation (e.g. NI LabVIEW and TestStand, Python, etc.)- Experience with electrical design including power supplies, FPGAs, sensors, RF, and high-speed digital interfaces- Proven ability to run small teams to achieve objectivesAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Come join the Alexa Audio team working on Alexa+, a completely new product that powers all of our devices and services. This is an opportunity to work with latest machine learning techniques, and inventing the future. Alexa Audio is responsible for fulfilling customers requests for all types of audio content (Music, Radio, Podcasts, Books, generative audio) across all Alexa enabled devices. This covers a broad set of experiences including search, browse, recommendations, playback, and multi-device grouping and controls. We are seeking a talented, self-directed Applied Scientists who would come up with state of the art search and recommendation techniques, and help develop new generative experiences. This is a unique opportunity where you will be working on latest technologies including LLMs, and also see it impact customer's lives in meaningful ways.Responsibilities - Apply advance state-of-the-art artificial intelligence techniques and develop algorithms in areas of personalization, voice based dialogue systems and natural language information retrieval. - Design scientifically sound online experiments and offline simulations to study and improve products. - Work closely with talented engineers to create scalable models and put them to production. - Perform statistical analyses on large data sets, identify problems, and propose solutions. - Work with partner science teams to identify collaboration opportunities.Work hard. Have fun. Make history.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. AWS Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments.The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at AWS. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations.The AWS Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum leap in performance.You: Machine Learning Compiler Engineer II on the AWS Neuron team, you will be supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and implementing business-critical features, publish cutting-edge research, and contributing to a brilliant team of experienced engineers excites and challenges you. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in Machine Learning and AI accelerators is preferred, but not required.About the teamAbout UsInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of experience architecting and optimizing compilers- Proficiency with 1 or more of the following programming languages: C++ (preferred), C, PythonPREFERRED QUALIFICATIONS- M.S. or Ph.D. in Computer Science or related field- Experience with multiple toolchains and Instruction Set Architectures- Proficiency with resource management, scheduling, code generation, and compute graph optimization- Experience optimizing Tensorflow, PyTorch or MxNET deep learning modelsAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

The AWS Rack Power team is driving rapid innovation in the power systems used by Amazon Web Services. Our designs are fundamentally changing the data center, providing operational and financial benefits that are critical to the success of the AWS business and its millions of customers. We design and build power equipment used by Amazon.com and AWS services such as EC2, EBS, S3, Glacier, and Outpost. Our engineers solve challenging technology problems, and take big bets on new concepts, enabling AWS services to continue to revolutionize the industry.What you will do: Amazon is looking for Systems Development Engineers to build and scale the systems and software for the power solutions of the world’s largest and most complex networks. The engineers within our team are instrumental in to help drive the stability and sustainability of AWS next-generation power systems and to discover innovative ways to automate and scale telemetry and monitoring services as AWS expands globally.Systems Development Engineers are expected to develop best practices, refine operational procedures and constantly innovate proactively. You will continuously identify areas of growth within the existing services, tools and processes to develop further technical mechanisms to reduce waste and continuously improve. Our ideal candidate is autonomous, detail oriented, possesses strong written and verbal communication skills and has experience working at scale. Systems Development Engineers work hand-in-hand with multiple teams and design disciplines to invent new ways of operating Amazon's Next-Generation Network while never losing sight of the high security bar our customers demand.This is an excellent opportunity to join Amazon's world class technical teams, working with some of the best and brightest engineers while also developing your skills and furthering your career within one of the most innovative and progressive technology companies anywhere.You will not only lead architecture development for key service components, but will also provide technical leadership across a wide spectrum of technologies, including large-scale globally distributed systems, power technologies, battery management systems and machine learning at scale.Why it matters: Amazon has thousands of unique services, both big and small that power the Retail website (Amazon.com), Amazon Web Services, Echo, Kindle, Amazon Instant Video and more. These services run on hardware around the world. We continually need to deploy newer, innovative, and more efficient and cost effective hardware. Your work will drive efficiency, contributing to Amazon's Climate Pledge. Your work will drive significant cost savings while improving the performance and reliability of our websites and services. Your work will ensure the highest reliability of power equipment.Why you will love it: You will have exposure to teams and leaders across the entire company. You will be a part of a leading edge product development team. You will see many aspects of the Amazon business. You will have a direct impact on our bottom line and the ability to improve things for our developers. You will be part of a growing, fast paced and fun team. You will have ownership and responsibility for defining and executing processes that deliver both savings and productivity for Amazon.BASIC QUALIFICATIONS- 2+ years of non-internship professional software development experience- 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- 7+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience- Knowledge of systems engineering fundamentals (networking, storage, operating systems)- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, RubyPREFERRED QUALIFICATIONS- Experience with PowerShell (preferred), Python, Ruby, or Java- Experience working in an Agile environment using the Scrum methodologyAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $116,300/year in our lowest geographic market up to $201,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.Lead our pioneering AI initiative at AWS and define the future of AI agents. Shape how businesses leverage artificial intelligence by creating foundational building blocks used across AWS business applications. The Core Services team within AWS Applied AI Solutions is creating the foundations that will power the next generation of AI agents from small business to enterprise scale. As a scientific leader, you'll drive our new agentic AI building blocks initiative, pioneering the development of reusable AI components that accelerate and standardize AI product delivery across AWS business applications such as contact center, supply chain, healthcare and life sciences. You'll own one critical capability area such as agent identity and governance, agent collaboration & orchestration, agent evaluation, or knowledge management, and have the privilege to define what we build and how we build it. This role combines the excitement of a startup environment with the scale of AWS. You'll research state-of-the-art open source and internal tools, tackle highly ambiguous problems, and lead scientific innovation building a V1 product from the ground up. You won't just be implementing someone else's vision you'll chart the course, define the roadmap, and create novel scientific solutions that eliminate non-differentiating work while ensuring enterprise-grade quality and consistency. If you thrive on ownership, are passionate about AI research and development, and want to fundamentally influence how AWS builds AI products, this role offers an extraordinary opportunity to make your mark.Key job responsibilities- Design and implement evaluation frameworks for AI agents, including benchmarking tools, annotation systems for RLHF, and standardized patterns for memory orchestration and retrieval that ensure consistent performance across diverse use cases- Develop deep expertise in a strategic research area within AI agent systems, becoming the organization's scientific expert in areas such as agent design and evaluation. - Identify and devise new research solutions for ill-defined customer or business problems that require novel methodologies and paradigms to be invented at the product level- Articulate key potential scientific challenges of ongoing or future customer needs or business problems in AI agents, and present interventions to address them- Lead the design, implementation, and successful delivery of solutions for scientifically-complex problems, writing "critical-path" code- Write clear, useful narratives and documentation describing inventions, solutions, and design choices that enable others to understand and reproduce your work- Demonstrate detailed knowledge of your team's solutions and systems while proactively driving utilization and improvement upon the state of the art- Independently assess alternative AI technologies and choose the right approaches to be integrated into your systems- Apply and drive your team to adopt best practices in scientific research, code development, and technical documentation- Influence across multiple teams to build consensus on scientific approaches and architectural decisions- Actively mentor and develop other scientists and engineers, elevating the technical capabilities of the organizationA day in the lifeYour morning starts with a team standup, followed by collaborative sessions with software engineers and product managers to understand requirements and internal customer needs. You'll dedicate focused time to researching the latest scientific advances in AI agents and designing novel approaches for your capability area. Throughout the day, you'll work with engineers and scientists within your team to implement solutions, applying scientific rigor to validate approaches. You might lead a scientific design review gathering diverse perspectives to strengthen your methodologies. Your day could include conducting experiments, analyzing results, designing new evaluation methodologies, meeting with internal customers to understand their AI agent needs, or presenting your scientific vision to leadership stakeholders.About the teamApplied AI Solutions Core Services is a comprehensive suite of core computing services and solutions provided by Amazon Web Services (AWS) to support the foundational infrastructure and operations needs of customers. It encompasses a wide range of essential services and capabilities across AWS. The Core Services team focuses on continuously improving the security, availability, and cost-effectiveness of these critical enterprise-wide services for AWS customers.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning- Experience using managed ML/AI solutions- Deep expertise in at least one AI/ML discipline such as NLP, reinforcement learning, etc.- Experience with neural deep learning methods and popular frameworks such as PyTorch, TensorFlow, or MxNet- Experience designing and implementing AI/ML systems, including working with LLMs, prompt engineering, retrieval augmented generation (RAG), fine-tuning, or AI agent development- Experience using managed ML/AI solutions such as AWS SageMaker AI or Amazon Bedrock- Demonstrated track record of scientific innovation with measurable business impact- Experience building production systems that operate at scale- Proven ability to drive scientific roadmap and secure management buy-in for new initiatives- Strong collaboration skills with ability to influence across organizational boundariesPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.- 7+ years of experience applying scientific methods to solve complex AI problems at scale- Experience mentoring junior scientists and engineers- Advanced knowledge of large language models, including fine-tuning, evaluation, and responsible AI practices- Experience developing bias detection, fairness metrics, and ethical evaluation frameworks for AI systems- Proven track record building reinforcement learning systems with human feedback, including annotation frameworks and reward modeling- Experience creating evaluation frameworks measuring factuality, robustness, and safety across diverse scenarios, comparable to HELM or HealthBench- Expertise in building reusable AI components with well-defined interfacesAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon Science gives you insight into the company’s approach to customer focused scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.Please visit https://www.amazon.science for more information.Are you an expert in Natural Language Processing (NLP) and Large Language Models (LLM) Are you interested in building Agentic AI solutions on complex business problems that have significant global benefit. The Brand Protection team designs and builds high performance AI systems using LLM and machine learning that identify and prevent abuse and counterfeit on behalf of brand owners worldwide. We are looking for a highly talented scientist to help build of our vision for agent-based intellegent automation. As a senior applied scientist on the team, you will use NLP and LLM techniques to built automated AI solutions that thinks like human to assist decision making and eventually make autonomous decisions that impacts millions of brands, selling partners and customers. You will work backwards from data insights and customer feedback to build the right machine learning solutions, collaborate with other domain experts in finding innovative solutions to unsolved problems. You will work closely will product team and engineering partners to launch the solution into production and owning the end-to-end solution.An ideal candidate should have extensive experience driving large-scale Machine Learning initiatives, specially in GenAI and LLM applications, from conception to launch in a rapidly evolving environment. Amazon’s growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems. Major responsibilities: - Understand business challenges by analyzing data and customer feedback - Collaborate with tech and product teams on building ML strategies, experimentation, implementation and continuous improvement - Analyze and extract relevant information from large amounts of both structured and unstructured data to design strategies to solve business problems. - Use NLP, LLM and machine learning techniques to create scalable solutions for business problems - Create business and analytics reports and present to the senior management teams - Research and implement novel AI solutions and publish research papersAbout the teamHere at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.BASIC QUALIFICATIONS- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience- 3+ years of building machine learning models for business application experience- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)- Experience with neural deep learning methods and machine learning- Experience programming in Java, C++, Python or related language- PhD, or Master's degree and 6+ years of applied research experience- 5+ years of applied research experiencePREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Project Kuiper is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individualhouseholds to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.We are looking for a Sr. Supplier Quality Engineer (ASIC) who will define requirements and deploy processes to deliver aerospace quality at unprecedented scale.The ideal candidate is a systems thinker with excellent analytical abilities, technical skills, effective written and verbal communication, and most importantly, a passion for developing foundry and outsourced assembly and test (OSAT) suppliers to produce high-quality, mission-critical hardware in volume production.Key job responsibilities- Own quality performance of OSAT and foundry suppliers including requirements definition, qualification, production process validation, failure analysis, metrics reporting, and continuous improvement- Define and scale Kuiper’s quality system to ensure early detection of process excursions improving product reliability and wafer yields in volume manufacturing- Test and inspection processes and foundry process controls- Create closed-loop mechanisms utilizing OSAT data to improve foundry processes resulting in quality, reliability and yield gains- Set and monitor OQC/IQC criteria across Kuiper’s ASIC supply chain- 2nd source qualifications- Own systems, tools, and business processes used to manage device traceability and key quality/test metrics- Represent Kuiper Supplier Quality in cross-functional initiatives- Travel as needed to accomplish program objectives- AS9100D Lead Auditor Trained/Certified- Direct experience deploying APQP/PPAP methodologies per AS9145 or equivalent standardsExport Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.A day in the life- Collaborates with product development teams as owner of ASIC quality system requirements- Acts with internal customer obsession on behalf of Kuiper Production by improving reliability, reducing defect rates and driving failure analysis- Serves as the face of Quality for ASIC foundry, OSAT and component suppliers communicating expectations and resolving issues- Facilitates ASIC quality as subject matter expert in device traceability and statistical process control- Leads resolution of quality events utilizing structured failure analysis toolsAbout the teamThe Kuiper Supplier Quality team is driven to develop a vendor base capable of scaling aerospace quality to new volume and cost levels in order to meet end customer needs. This position will join the team at an exciting moment with the opportunity to own quality for key categories and contribute to the design of requirements and systems used across the business. We value data driven decision making, a comfort with ambiguity across multiple simultaneous projects, an ability to earn the trust of our key stakeholders, and delivering results without sacrificing integrity.BASIC QUALIFICATIONS- BS or MS degree in electrical engineering, materials science and engineering, applied physics or related fields.- 7+ years' experience in ASIC quality, manufacturing, testing or failure analysis.- Knowledge and experience in statistics fundamentals and data analysis tools.PREFERRED QUALIFICATIONS- 10+ years' experience managing quality of OSAT / foundry supplier partners- Knowledge of semiconductor frontend/backend manufacturing processes and failure analysis- Data analysis tools (JMP or Minitab)- Six Sigma Black Belt or equivalent Lean certification- Proven knowledge of industry ASIC and quality standards (JEDEC, IPC, ISO, IATF, ANSI)- ASQ Certified Quality EngineerAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Do you want to re-invent how 10s of millions of people enjoy shows and movies on their TVs and Tablets FBDA (Fire TV Business devices and advertising) includes Amazon Fire TV, the #1 streaming media player with millions of monthly active users, and Amazon Fire Tablet. Our mission is to make watching content they love effortless and fun for customers to enjoy all of their entertainment so it becomes part of their daily habit for relaxing, being entertained, and spending time with family and friends.Key job responsibilitiesYour opportunities with our team will include:• Build full-stack technology and services that must scale to support millions of users – we operate at Amazon scale, designing and deploying software that is enjoyed by millions of customers globally.• Inventing a delightful experience for our customers that utilizes Android, cloud services, frontend and backend technologies.• Defining and implementing novel customer experiences and product direction through collaboration with Product, UX and other engineering teams.• Delivering high quality software through working in a dynamic, team-focused Agile/Scrum environment.A day in the lifeWe are looking for an innovative Software Development Engineer II who wants to have outsize impact. As a Software Engineer on this team, you will define and build innovative consumer product experiences with a direct impact on the design, architecture, and implementation of flagship products that customers love and use every day. You’ll be part of a triple digit growth opportunity working with talented engineers to build delightful user experiences and full-stack technology and services (including customer experience) that must scale to support millions of users. The ideal candidate will have industry-leading programming skills, a deep understanding computer science fundamentals, and be conversant up the software stack.About the teamThe FBDA team combines advertising and mobile technologies, smart TVs and Alexa to help our customers discover and engage with content and help Amazon to lower the prices. We operate at Amazon scale, designing and deploying software that is enjoyed by over 50MM active users globally. We solve significant customer problems in the consumer electronics space through devices, mobile applications, and machine learning.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operationsPREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalent- Experience with Java, Kotlin or React Native.- Experience with working on customer devices on Android platform.- Strong coding, algorithm, and debugging fundamentals. · Experience developing, releasing, and maintaining a high volume embedded system.- Experience developing on cloud based infrastructure.- Willingness to roll up one’s sleeves to get the job done.- Positive attitude and professional demeanor.- Experience influencing software engineering best practices within your team.- Passion for digital entertainment, including TV and Movies.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Engineers at Amazon work to design resilient, cost effective mechanical distribution systems. As engineers at Amazon we are responsible for achieving a world class uptime for our customers. We justify and communicate the technical decisions we make to Sr. Management and work hard to drive continuous advancements and improvements with our designs. As an engineer at Amazon you have the ability to drive change and define/design the systems our customers rely on. Amazon offers a fast paced, fun, and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning experiences. Amazon’s work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. We are looking for engineers with hands on mechanical design experience. If you can design a mechanical system, have an understanding of the critical equipment needs for a data center, and understand the constructability of varying designs you may be a good fit. As we grow we are structuring our team to own more of our engineering in house. Engineers will be responsible for taking designs from concept to the permit and construction document set. You must be capable of defining critical equipment specifications and approving equipment submittals. Engineers will directly support construction and be a part of the process from site selection review through commissioning and ultimately turnover. You will be relied on as a subject matter expert in the mechanical engineering field. At Amazon we do highly support continued learning opportunities and focus on continued employee development. At Amazon team work is absolutely necessary for us to accomplish our goals. You must be able to work within a team and depend on others to accomplish the required work. As a mechanical engineer at Amazon you will be working with other internal groups as well as external groups including utilities, manufacturers, vendors, and contractors. Amazon has a global presence. Travel will occasionally be necessary but shouldn’t be more than 20%. International support will be part of the job, some international travel may be necessary. Support could consist of working on international teams and could require developing detailed schematic design packages. An understanding of international mechanical design requirements is helpful but not necessary. Key job responsibilities - Work with internal teams to understand user requirements. - Data center mechanical designs and collaboration with other disciplines to create a construction document set. - Creation of designs which meet or exceed our quality requirements and fall within our budgetary requirements. - Work with regional vendors and manufactures to specify the appropriate mechanical equipment. - Work with local utilities to understand and define site utility requirements. - Work with local agencies having jurisdiction to ensure compliance with city/county requirements and building codes. - Review and approval of equipment submittals. - Define project scopes and provide technical support for information requests during construction phases. - Work with commissioning teams to properly validate installation, operation, and performance of mechanical systems. - Ability to work on concurrent projects in multiple geographical regions. - Travel to sites for site review and work with onsite field engineers, engineering evaluations, mechanical systems audits, and startup as needed. - Having fun and offering creative, out of the box solutions. About the teamAbout Team:Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- Bachelor’s degree in Mechanical Engineering or an equivalent engineering degree in a related field with at least 4 years of additional qualifying experience.- 6+ year of experience in design engineering or the construction industry, related to all aspects of Mechanical, including hydronics, air side duct design, and plumbing design. 4+ years’ experience using Revit for producing Mechanical & Plumbing engineering BIM models and construction drawings.- Experience applying local codes, International Code Council (ICC) requirements, and other Mechanical industry standards, procedures, and methodologies. PREFERRED QUALIFICATIONS• Experience directly related to construction of data centers, critical medical, industrial, construction, oil and gas, or large-scale mechanical and power systems.• Experience with processes of design review, specification, development of design standards, and submittal review. Ability to read and understand construction documents for all trades (design drawings, control diagrams, specifications, etc.).• Experience with performance-based alternatives to prescriptive Mechanical design. Advance knowledge of mechanical engineering systems• Experience designing of high volume air handling systems and controls, chilled water systems and controls, economization solutions and direct/indirect evaporative cooling systems.• Professional Engineering license, NCEES RecordAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,100/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Want to help make the next generation of Machine Learning in the cloud possible Do you have a laser focus on performance in your team's code We want to talk to you! We own the user-space software that makes the Elastic Fabric Adapter (EFA) network card work for Machine Learning (ML) and High-Performance Computing (HPC) customers on AWS. Across multiple projects written in C, our team enables customers to network thousands of GPU and CPU instance types to handle the toughest clustered workloads. Lead a dynamic, fast-paced group that has a big impact every day on the hottest companies doing AI and HPC today. Key job responsibilitiesYou will help lead a team of obsessed networking developers operating at the highest levels in networking. You will write the highest-performing code in C for multiple open source projects supporting EFA, such as Libfabric and Open MPI. You will work with multiple teams in the stack to invent new APIs for the latest concepts in networking in the cloud. Dive deep into how your customers are doing collectives and messaging at high bandwidth and low latency. Provide expert-level support to some of the biggest names in AI in the world. A day in the lifeStart from the needs of your customer and invent new ways of cutting the occupancy of the software stack for EFA. Drive your peers and leadership to accept your excellent written designs. Work with our ML Infrastructure team to see your products perform on 100s and 1000s of top-end machine clusters. About the teamWe are a fast-paced team that owns the user-space software stack for EFA. As part of Annapurna Labs in AWS we are very nimble, paying careful attention to what the AI industry is going to try next, and having our products ready. We focus heavily on automation, confining operations to the most interesting problems as customers continuously experiment with what our network can do. Our team is a place of growth, concentrating on your career and goals and motivating you to achieve your highest potential. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Experience as a mentor, tech lead or leading an engineering teamPREFERRED QUALIFICATIONS- Bachelor's degree in computer science or equivalentAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Customers love discovering what is trending, esp. shopping in categories like fashion where customers are looking for inspiration and fashionable styles. Trending products spark curiosity, build confidence, and reassure them they’re making smart choices. Highlighting these trending items and brands on Amazon not only satisfies their desire to stay current but also enhances the overall shopping experience, driving deeper engagement. This newly formed charter in North America Store (NAS) focuses on developing various LLM and ML-driven trend signals (e.g. vital trends, fashionable trending styles, seasonable trends, locale trends, sports or events/holiday trends, niche and trending brands) and solutions leveraging both Amazon internal and external world knowledge to help customers easily discover trending brands and products on Amazon, and enable us to surface these high-interest products in real time and empower any team across Amazon to tap into this intelligence for their specific use cases. In addition, we're in this early stage of exploring exciting opportunities to build AI agents to provide marketing and other clients trend insights to assist clients making the right business decisions. We're looking for a lead Sr. Applied Scientist who can play the thought leadership role for this ML-focused Trends program as well as collaborating with Product leaders, engineering teams and other scientists to deliver scalable solutions with large business and customer impact.Key job responsibilities- Lead complex projects that design and build LLM and ML solutions identifying trending themes and recommendations, as well as AI agents to provide trends insights. - Collaborate with own and partner teams on customer-facing experiences that will utilize the data and ML models to better serve customers discovery needs on trending products and brands.- Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.- Drive continued scientific innovation as a thought leader and practitioner.- Provide technical and career development guidance to scientists and engineers in the organization.About the teamThis newly formed charter in North America Store (NAS) focuses on developing various LLM and ML-driven trend signals (e.g. vital trends, fashionable trending styles, seasonable trends, locale trends, sports or events/holiday trends, niche and trending brands) and solutions leveraging both Amazon internal and external world knowledge to help customers easily discover trending brands and products on Amazon, and enable us to surface these high-interest products in real time and empower any team across Amazon to tap into this intelligence for their specific use cases. In addition, we're in this early stage of exploring exciting opportunities to build AI agents to provide marketing and other clients trend insights to assist clients making the right business decisions. BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Have you ever wanted to be part of a team who is building industry changing technology Amazon’s Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband network connectivity to unserved and underserved communities around the world.As a Sr. PCBA Manufacturing Test Engineer, you will be responsible for deployment, qualification, continuous improvement of test systems, processes, and procedures at CM (Contract Manufacturing) sites for Satellite PCBAs. You will be a key member of PCBA Manufacturing team and will be the main interface between Kuiper’s internal test development teams and our manufacturing partners. You will ensure successful test deployment by documenting procedures, training CM personnel, and providing ongoing onsite support. You will have excellent debugging skill with the ability to dive deep and determine the root-cause of test failures.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Key job responsibilities• Develop test strategies, implement and optimize test setup/processes at Contract Manufacturing sites including identification, specification, design and qualification of test fixtures, test equipment, and maintenance programs.• Perform PCBA debug and root-cause failure analysis at Contract Manufacturing sites. Create runbooks and provide training for technicians to perform PCBA debug.• Work with the R&D and Test Development teams to continuously improve test systems, software, fixtures, and procedures to improve test effectiveness and throughput.• Analyze data to identify failure trends and provide recommendations for PCBA, process, and test system improvement.• Develop procedures and documentation for use by test operators.• Train operators on test processes and support recurring certification programs.• Provide feedback to the Test Development team on test coverage, fault isolation capability, PCBA failure trends, and DFT (Design for Test) recommendations.• Run small teams to accomplish short-term objectives and implement strategic initiatives.A day in the lifeCome solve the difficult and rewarding engineering challenges in developing a highly reliable, power efficient, high performance, low-cost satellite system. As a Sr. PCBA Manufacturing Test Engineer, you have the ability to dive deep on the details to identify, understand and solve difficult technical problems and also utilize a system level approach to prioritize issues for the whole program. You thrive in a hands-on environment and will spend time in the office, on the factory floor, at manufacturing partners, and in the lab to execute the Project Kuiper mission.About the teamThe PCBA Manufacturing Test Engineering team delivers and deploys test systems for all Kuiper satellite PCBAs. This is an inclusive, inter-disciplinary team that is committed to performance, quality, & reliability. Your breadth of exposure will be immense as you collaborate with other core groups, helping to guide the test systems from design to production and operation.BASIC QUALIFICATIONS- Bachelor’s Degree in Electrical Engineering, Electrical Engineering Technology, or related field- 8+ years of experience deploying, using, and training others on the use of complex test systems including RF functional tests, high power electrical tests, ICT/bed-of-nails fixtures, and Flying Probe test.- 8+ years of experience integrating software and hardware systems.- 8+ years’ experience in the use of standard electronic lab test equipment (i.e., oscilloscopes, multimeters, etc.) to debug complex PCBAs.- Ability to write detailed test station operating procedures- Ability to create deployment/capacity plans for multiple testers at multiple CMs- Experience with Linux/scriptingPREFERRED QUALIFICATIONS- 10+ years of experience deploying, using, and training others on the use of complex test systems including RF functional tests, high power electrical tests, ICT/bed-of-nails fixtures, and Flying Probe test.- Experience with test plans and protocols related to established Space Hardware test processes (GEVS / SMC-S-016).- Knowledge of software tools for test automation (e.g. NI LabVIEW and TestStand, Python, etc.)- Experience with electrical design including power supplies, FPGAs, sensors, RF, and high-speed digital interfaces- Proven ability to run small teams to achieve objectivesAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,600/year in our lowest geographic market up to $213,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Lead the development of networking systems that form the foundation of cloud computing, enabling millions of applications to connect and perform reliably across the world's largest cloud platform. Join the Amazon Elastic Compute Cloud (EC2) Instance Networking team where your technical leadership shapes how enterprises and AWS services experience network performance, security, and reliability at unprecedented scale.As a Senior Software Development Engineer, you will guide complex engineering initiatives across diverse technical domains that define modern cloud networking infrastructure. You'll architect high-performance packet processing systems handling millions of operations per second, design advanced analytics platforms that transform network telemetry data into engineering insights, lead testing infrastructure development that validates changes across global infrastructure, and implement sophisticated protection mechanisms that secure customer workloads. This role combines technical depth in systems programming with the scale challenges of distributed computing, offering opportunities to drive architectural decisions that operate at the intersection of performance optimization, security innovation, and operational excellence.Working in partnership with Principal Engineers, hardware teams, and AWS leadership, you will influence technical roadmaps while mentoring other engineers and maintaining operational discipline required for systems that operate continuously at global scale.Key job responsibilitiesProvide technical leadership for engineering initiatives developing core networking infrastructure that enables secure, reliable, and high-performing connectivity across the EC2 platform. Drive architectural decisions for systems spanning hardware-optimized software development through distributed analytics platforms that process network behavior at significant scale.Lead development efforts across multiple technical domains including high-performance packet processing systems, comprehensive network telemetry and analytics platforms, automated testing and validation infrastructure, and advanced security mechanisms. Champion architectural improvements when supported by performance data and operational evidence, including fundamental changes to packet processing pipelines and security enforcement mechanisms.Mentor junior engineers and guide technical decision-making across complex networking challenges. Collaborate with hardware engineering teams to optimize software performance across evolving networking hardware platforms while ensuring compatibility and feature consistency.Establish engineering best practices that balance rapid innovation with operational excellence, including comprehensive automated testing frameworks, performance benchmarking across diverse scenarios, and monitoring systems. Navigate complex technical challenges in distributed systems, low-level programming, and hardware-software integration while maintaining reliability standards required for mission-critical infrastructure.BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering team- Linux operating system and low-level C development expertisePREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalent- Deep understanding of network protocols, security mechanisms, and performance optimizationAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Our team designs, builds and operates Amazon's fleet of Accelerated Servers using Internal Amazon design silicon or specialized purpose accelerators (EC2.TRN, INF, G, F + more instance types). We solve systemic hardware issues and we build hardware and software systems to detect and mitigate future recurrences so that our our customers can experience the highest quality of service possible!You will be responsible for owning the design and operations of a brand new segment of servers for the AWS fleet. You will be responsible for development of individual boards, managing third party ODM's, integrating components from within and outside of amazon and integrating firmware/software stacks ontop of the hardware to produce high quality designs for our customers.As the end to end owner of a complex server fleet, our team works closely with partners to root cause failures and drive changes back into our current & future designs. Nothing is complete without closed loop corrective actions which drive changes back into our development processes and behavior specifications. As a member of the AWS Hardware Engineering organization, you will apply your technical experience and work with other subject matter experts in core component development, compute server development, networking development, custom hypervisor/virtualization development and other teams. You will be responsible for hardware and systems that improve how we detect, root cause, and remediate issues. You will lead cross functional investigations and define changes needed to deliver results and will have direct exposure to internal and external AWS customers. Ideal candidates will have a background in server development, system design, root cause, scoping complex issues, qualification, problem solving and developing corrective actions.Key job responsibilitiesAs a member of the Accelerated Server Hardware Engineering team you will own and lead the design, development and root cause of a new segment of accelerated servers.You will work closely with our customers to understand their technical needs and business goals, leveraging your experience with server design and the knowledge of various teams to architect the solutions that we will deploy at scale.To deliver your products you will work with an interdisciplinary team of component, firmware, test, qualification, and integration engineers, and lead our design and manufacturing partners to bring these servers to the data center. After launch you will oversee the fleet of servers you develop, monitoring their quality and how they are meeting the customer requirements.A day in the lifeYour day to day responsibilities will include interfacing with our internal and external customers to understand project requirements and facilitate system development ontop of your server design. You will be responsible for learning operational challenges to our existing fleet with the goal of improving the current customer experience as well as developing improved systems for future designs. You will work directly with vendors and ODM/JDM design teams to develop and manufacture your product at scale. About the team*Why AWS*Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.*Diverse Experiences*Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.*Work/Life Balance*We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.*Inclusive Team Culture*Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.*Mentorship and Career Growth*We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.The Hardware Engineering AI / ML development team is a group of engineers and technical program managers directly responsible for launching hardware in the fleet. Located out of Seattle, Cupertino and Austin we work on programs with global development teams (both internal and external to Amazon). Our servers are located in datacenters globally. The members of our team have a diverse set of technical backgrounds but all share a common trait of Bias for Action and strong Ownership. We enjoy applying a startup model of delivering fully functional solutions for our customers.BASIC QUALIFICATIONS- Experience in developing functional specifications, design verification plans and functional test procedures- Experience working with interdisciplinary teams to execute product design from concept to production- Experience in server technologies such as, thermal, mechanical, power, and signal integrity- Bachelor's Degree in EE or equivalentPREFERRED QUALIFICATIONS- Master's degree in electrical engineering, computer engineering, or equivalent- Experience with the project management of technical projects- Experience in compute and storage server architecture and design for large scale applications- 10 years hardware development with a focus on system / server development in compute and/or storage server architecture and design for large scale applications.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,600/year in our lowest geographic market up to $213,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.