Description: Need minimum of 1 year of experience with Implanted Cardiac Devices, i.e., Pacemakers, Defibrillators .Role includes using a programmer to connect to patient implanted device for downloading stored information, trouble shooting/resolving device issues, remote monitoring, device programming, patient education, collaboration with cardiac team and documentation in a national data base. Supports Tacoma, Silverdale and Olympia clinics. Job Summary:Provide nursing care to a defined group of patients, adhering to Kaiser Foundation Health Plan of Washington ambulatory Nursing Care Standards, the Nursing Code of Ethics and Kaiser Foundation Health Plan of Washington policies. Coordinate and facilitate Health Care services for the patient in other segments of the Health Care delivery system. Provide and coordinate nursing care for the patient in collaboration with the Health Care team. The Registered Nurse is an integral member of the Health Care team, overseeing and participating in patient assessment and the formulation and implementation of the care plan. Essential Responsibilities: Using the nursing process, provides ongoing assessment of the nursing care needs of a defined group of patients. Uses nursing diagnosis to describe this assessment. Develops a written plan of care for patient care needs. Assists patients and families/significant others in developing health care goals which are part of the individualized plan of care. Determines priorities of patient care based on essential patient needs and available resources. Provides nursing interventions safely and competently. Provides the patient and family/significant others with information preceding interventions. Provides telephone consultation to patients and family/significant others Provides ongoing evaluation of the patients response to care. Anticipates and recognizes changes in the patients status and need for nursing care. Modifies the individual plan of care in collaboration with the health care team.Demonstrates understanding of the physiologic and psychological effects of normal aging by assessing, planning, implementing and evaluating care to meet the needs of those populations served. Demonstrates effective communication skills with those specific age populations served. Identifies own learning needs and participates in educational programs related to those age-specific patient populations served (Neonatal, Pediatric, Adolescent, Geriatric). Collaborates, communicates and coordinates with other health care team members in planning and implementing care. Assesses the needs of designated patients requiring hospitalization; initiates nursing admission database and discharge planning in collaboration with inpatient staff and physician. Cooperates and communicates effectively with other team members in order to accomplish the workload.Communicates recognition of the patients and family/significant others psychosocial, cultural and emotional needs in each nurse-patient interaction. Orients patients and family/significant others to the role of the professional nurse and other health care team members, the nursing services available, and the means of access to those services. Reinforces orientation to the Consumer Bill of Rights and Responsibilities. Identifies the patients educational needs as part of the nursing assessment. Develops an educational component for each nursing care plan. Provides teaching/counseling congruent with patients and family/significant others learning needs and the medical plan of care. Encourages patient compliance with therapeutic and medical regimens. Teaching is based on scientific and behavioral knowledge.Assesses patient lifestyle risk factors. Integrates health promotion and preventive aspects of care with the ongoing assessment of nursing care needs. Works with patient to develop a plan to improve general health status. Implements physical and psychological preventive measures. Promotes patient self-care responsibility for meeting their own health needs. Adheres to KFHPW documentation standards. Provides a safe environment for each patient and adheres to KFHPW safety standards. Adheres to KFHPW infection control standards and guidelines, including the guidelines for reporting communicable diseases.Identifies own learning needs and participates in continued education programs to meet those needs. Participates in staff orientation and student education activities. Collaborates with managers in completing the process for self and colleague/team performance reviews. Assures quality of care through development, implementation and evaluation of professional nursing standards and participation in multidisciplinary quality assurance activities. Participates in professional activities. Participates in nursing research and incorporates research findings into nursing practice. Adheres to KFHPW personnel policies and maintains a high standard of professional work habits. Consistently demonstrates an appearance consistent with current KFHPW dress code policy. Basic Qualifications:Experience N/AEducationAssociates degree in Nursing from an accredited programLicense, Certification, RegistrationRegistered Nurse License (Washington) required at hire OR Compact License: Registered Nurse required at hireAdvanced Cardiac Life SupportBasic Life Support required at hireAdditional Requirements:Communication, problem-solving, leadership and decision-making skills.Preferred Qualifications:Ambulatory care nursing experience.Primary nursing or case-management experience.Bachelor of science in nursing (BSN).

Join our Generative AI focus team to innovate 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 building the next generation of development tools uncovering how LLMs can originate new ways of thinking, building, and collaborating. What Makes Us Different* Ground-floor opportunity to shape the future of software development* Direct impact on Amazon's global engineering practices* Working with the latest technologies and large language models* Culture of experimentation and innovative thinking What We’re Looking ForYou’ll lead the research, design, and development of AI technologies that challenge conventional software practices and uncover new ways for engineers to build and collaborate.You’re comfortable working in ambiguous spaces, exploring emergent behaviors, and collaborating with designers, prototypers, and engineers to test hypotheses in live, evolving systems.You explore where LLMs behave in unexpected yet promising ways, especially in tasks like context retention, code reasoning, or agent behavior , and use those moments to uncover new AI-native workflows.We’re looking for applied scientists with experience in areas like:+ Information retrieval+ Context and memory modeling+ Agent behavior and autonomy+ Code understanding and generation+ Human-AI interaction What You'll Do* Prototype new ways of working with LLMs in engineering workflows* Help shape and evaluate scientific approaches behind agentic systems and engineering tools* Move fast with engineers and prototypers to guide design decisions and model choices* Make sense of unexpected model behavior and guide what to try next ImpactYour work will surface where LLMs can meaningfully change how Amazon engineers build.You’ll help the team uncover which surprises are worth pursuing and where to push beyond what’s already known. Always find a way 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 in patents or publications at top-tier peer-reviewed conferences or journals- Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java)- Previous work on agents or LLMsPREFERRED 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.

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.You will deliver water sustainability projects for AWS Infrastructure in US West regions, as you execute on the delivery of multiple water infrastructure development projects, monitor operational efficiency metrics, and build in system resiliency after project hand-off to regional operations teams. You will also be the central point of contact for all issues pertaining to water and wastewater treatment and disinfection systems and for managing healthy relationships with utilities. If you understand water-cooled infrastructure in building operations, are interested in innovation in the water sector, and understand the feasibility of construction under various designs, you are a probably a good fit! Key job responsibilitiesKey responsibilities include:• Plan and implement water and wastewater infrastructure projects that support water delivery to data centers• Managing utility system contracts and connection agreements for domestic, fire, and cooling water supply• Engineering, implementing and monitoring water treatment projects, developing scalable designs for regional deployment• Conducting root cause analysis and implementing corrective actions for water systems• Coordinating with local utilities to ensure compliance with federal, state, and municipal requirements • Tracking system reliability and maintaining water supply resiliency for data center cooling• Developing and implementing water sustainability initiatives• Overseeing installation, testing, and maintenance of water treatment equipment• Collaborating with internal teams (engineering, operations, real estate, EHS) to develop solutions in areas with limited infrastructure• Up to 25% travel as needed for project execution where authorized.About the teamWhy 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 ExperiencesAWS 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. Inclusive Team CultureAWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.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. BASIC QUALIFICATIONS• Bachelor’s Degree in Chemical/Environmental Engineering, Civil Engineering or Water Resources Planning - Planning Degrees are encouraged• 5+ years building relationships with utilities and negotiating contractual and commercial terms related to water and wastewater capacity and infrastructure development• 5+ years of project or program management experience with skills to balance multiple priorities in a fast scaling environment, and experience working with water chemistry and conventional/membrane water treatment technologies for industrial applications, specially data centers • 5+ years reading and interpreting construction drawings and equipment specifications and ability to carry design concepts through exploration, development, and into deployment/scalable implementation.• Fluent in English and PortuguesePREFERRED QUALIFICATIONS• Advanced degree in Chemical/Environmental/Civil Engineering or Water Resources /Infrastructure Planning • Experience reading and interpreting construction drawings and equipment specifications and able to carry design concepts through exploration, development, and deployment/scalable implementation • 8+ years of direct experience with the construction, operation, or maintenance of water treatment equipment fleet management. • Experience with fast track design/build projects and or multiple significant upgrade projects• 8+ years working with mechanical/plumbing systems related to data centers or similar buildings that use water infrastructure such as pumps, cooling towers, evaporative media, heat exchangers, air handling units, or air economizers.• 8+ years of project-related experience working with local or state government agencies, utilities, site development due diligence and/or permitting entities.• Fluent in SpanishAmazon 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.Pursuant to the San Francisco 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 $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.

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 : This position requires that the candidate selected be a U.S. Citizen in order to comply with U.S. government-imposed requirements related to the nature of the work and/or where it will be performed.Kuiper Productivity Engineering (KPE) is seeking a motivated and autonomous builder to deliver results to our customers. This is a hands-on position where your daily activities will range from strategic planning to new system development to supporting the customers that depend on our services. Deliver consistent, well-defined results in an agile systems development workflow. To succeed in this role, you will deliver reliable, scalable, controlled working environments built on AWS. Key job responsibilities* Manage and maintain Kuiper's SAP Infrastructure, * Collaborate directly with customers to understand their unique use cases and implement tailored solutions* Implement and improve observability measures across the team's infrastructure* Implement and maintain Infrastructure as Code (IaC) practices for all managed systems* Apply DevOps best practices to improve system reliability, scalability, and security* Troubleshoot complex issues across various platforms and services* Collaborate with cross-functional teams to align infrastructure improvements with business needs* Stay current with emerging technologies and industry trends in system administration and DevOps* Document processes, configurations, and system architectures* Mentor junior team members in system administration and DevOps practices* Participate in on-call rotations to ensure 24/7 system availability and supportA day in the lifeIn this role, you will function as a DevOps Engineer. You will operate and support the team's services, as well as developing automation for upgrades/patching/testing, and enhance observability of the systems. You will work with stakeholders and senior engineers to design and develop custom solutions and integrations between tools and other services in a secure manner.About the teamKPE builds and operates the core productivity solutions supporting Kuiper’s operations and engagements with business partners. Our services set the example for operational excellence and invisibly scale as the business grows, while maintaining the highest standards of security and regulatory compliance. We innovate on behalf of our customers to automate and simplify their workflows, enabling them to focus on high-value activities.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust- Experience with Linux/Unix- Experience with CI/CD pipelines build processes- Experience in automating, deploying, and supporting large-scale infrastructurePREFERRED QUALIFICATIONS- Experience in networking, storage systems, operating systems and hands-on systems engineering- Experience with networking fundamentals including hands-on experience with load balancers, switches, routers, etc.- Experience utilizing AWS cloud solutions in a DevOps environmentAmazon 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.

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.

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential Do you have the business savvy, Database background, and sales skills necessary to help position AWS as the cloud provider of choice for customers Do you love building new strategic and data-driven businesses Join the Worldwide Specialist Organization (WWSO) RDS/Aurora GTM team as a Business Development Specialist!The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which 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. We work backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam. Key job responsibilitiesWithin WWSO, this position is part of the Worldwide Specialist Team, where you will lead the global GTM plan for AWS' RDS Oracle. You are a leader for specialists, architects, partners, and account teams around the world and set direction and standards for how we solve customer problems in your domain. You partner with technical and business teams across AWS and bring the voice of the customer into our product development roadmap. The WW team sees the big picture and sets the plan so the world’s most customer obsessed technical teams can make history.Key Responsibilities: - Lead GTM to orchestrate sales motions for sales, marketing, partner, product, training, and professional services teams to accelerate adoption of your aligned technology domain. - Leverage your deep domain expertise to create best in class field enablement and sales strategy. - Support field teams in solution building for high priority customers. - Bring market signals back to product teams to drive innovation on AWS product roadmaps. - Own reporting and planning cadences to AWS executives on GTM plan execution. - Demonstrate thought leadership and be able to credibly represent AWS at industry events, conferences, symposiums, etc.About the teamWhy 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 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.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.BASIC QUALIFICATIONS- 5+ years of developing, negotiating and executing business agreements experience- Experience developing strategies that influence leadership decisions at the organizational level- Experience managing programs across cross functional teams, building processes and coordinating release schedules- Bachelor’s degree in technical discipline- 7+ years of pre-sales engineering, technical business development, strategic partnerships, or program/product management experience- Experience developing and executing on GTM strategies that are large in scope.PREFERRED QUALIFICATIONS- Experience interpreting data and making business recommendations- Experience identifying, negotiating, and executing complex legal agreements- MBA/MS or equivalent relevant business experience.- Experience working with GenAI Foundation models, part of startups working on GenAI foundation models across modalities.- Hands-on working knowledge of deep learning and other ML algorithms and infrastructure.- Experience with cloud computing and or related fields.- Demonstrated ability to work effectively across internal and external organizations is key in a matrix environment.- Strong verbal and written communications skills and ability to lead effectively across organizations.- Experience speaking at technology conferences, as well as communicating across the organization from technical staff to VP/CxOs.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 $133,200/year in our lowest geographic market up to $220,200/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.

Come join the AWS AI science team in building the next generation models for intelligent automation.AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you.About the teamOur 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 that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse 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. About 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 CultureAWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.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 & 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 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.

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machinelearning accelerators and servers that use them. This role is for a software engineer in the Machine Learning Inference Model Enablement and Generality team for AWS Neuron at Annapurna Labs.This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond, as well as stable diffusion, vision transformers and many more.The Inference Model Enablement and Generality team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing LLM inference performance for both latency and throughput is highly desired. Experience with distributed inference libraries such as vLLM is a bonus.Key job responsibilitiesThis role will help lead the efforts building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python and ML knowledge are both critical to this role.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.Work in a startup-like development environment, where you’re always working on the most important stuff.About the teamOur 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 that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution.- Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Masters 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.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington area. Are you eligible You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U. S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analytics - Network Security & Support Get the skills and opportunity you need to launch your professional career. 75% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.

Are you excited to help customers discover the hottest and best reviewed products The Discovery Tech organization helps customers discover and engage with new, popular and relevant products across Amazon worldwide. We do this by combining technology, science, and innovation to build new customer-facing features and experiences. You will join the Recommendations team, and will be responsible for creating and building critical services that automatically generate, in real time, personalized product recommendations presented to Amazon customers worldwide. You will leverage machine-learning and statistical models to deliver the best possible shopping experience. We are looking for analytical problem solvers who enjoy diving into data, excited about data science and statistics, can multi-task, and can credibly interface between engineering teams and business stakeholders. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities. Your domain spans the design, development, testing, and deployment of data-driven and highly scalable machine learning solutions in product recommendation. As an Applied Scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.To know more about Amazon science, please visit https://www.amazon.scienceBASIC QUALIFICATIONS- PhD in math/statistics/engineering or other equivalent quantitative discipline- Experience programming or scripting language like Python, Java, C or C++- Experience with popular deep learning frameworks such as MxNet and Tensor FlowPREFERRED QUALIFICATIONS- Experience in solving business problems through machine learning, data mining and statistical algorithms- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruningAmazon 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.Export Control : This position requires that the candidate selected be a U.S. Citizen in order to comply with U.S. government-imposed requirements related to the nature of the work and/or where it will be performed.We are seeking a highly experienced technical program manager to drive the development and deployment of critical enterprise infrastructure across our rapidly scaling operations. This role will be instrumental in establishing standardized infrastructure deployment practices, managing complex cross-functional programs, and ensuring operational readiness across multiple facilities and technical environments.A successful candidate is a self-starter who thrives in a start-up environment, has a passion for scaling operations, and possesses a strong background in technology infrastructure program management, network systems, telecommunications, security systems, and communications distribution design and delivery.This role requires 25-50% travel. Key job responsibilitiesProgram Management & Strategy:- Lead end-to-end infrastructure readiness programs across solution development and deployment initiatives- Develop and maintain comprehensive infrastructure deployment roadmaps aligned with business milestones- Drive standardization of infrastructure deployment processes and technical specifications.- Create and manage integrated project schedules across multiple workstreams- Establish and track program KPIs, ensuring visibility and accountabilityTechnical Leadership:- Provide feasibility assessment, scoping, and requirements definition across projects- Lead technical due diligence, risk assessment, and programming for infrastructure delivery- Manage WAN service feasibility studies, bid analysis, and last-mile construction- Drive network, server, and wireless infrastructure design, hardware planning, and commissioning- Oversee security systems deployment and integration- Ensure infrastructure requirements are met during facility design, permitting, and construction- Lead communications distribution design and low voltage integration effortsStakeholder Management:- Act as technical liaison between internal engineering teams and project engineering vendors- Lead quarterly business reviews with engineering vendors- Partner with product managers and engineering teams on infrastructure systems development- Build and maintain strong relationships with cross-functional teams including facilities, networking, security, and operationsContinuous Improvement:- Drive evolution of program management procedures and design standards- Implement best practices for infrastructure deployment and scaling- Develop and maintain documentation for deployment processes and technical standards- Lead operational readiness reviews and system acceptance testing- Establish metrics and reporting frameworks for infrastructure programsA day in the lifeIn this role, you will drive critical infrastructure initiatives that enable Kuiper's ambitious mission by delivering scalable solutions across satellite manufacturing, testing, and deployment facilities. You will be partnering with engineering, operations, supply chain, and other teams to standardize infrastructure deployment, influence technical architecture, and build frameworks for sustainable growth.This position offers a unique opportunity to shape the future of global communications infrastructure while working with advanced technologies in a fast-paced, mission-driven environment.About the teamYou'll be joining a newly formed infrastructure program team within Enterprise Technology, focused on building and scaling the foundation that enables Kuiper's ambitious mission. Our team combines deep technical expertise with strong program management capabilities to deliver critical infrastructure on time and at scale. We operate with a startup mindset while leveraging Amazon's resources and best practices. Our culture emphasizes ownership, data-driven decision making, and innovation in solving complex problems. We're building something that's never been done before, and we're looking for individuals who are excited about creating new solutions rather than following established playbooks.BASIC QUALIFICATIONS- Bachelor's degree in Engineering, Computer Science, or related technical field, or equivalent experience- Experience managing enterprise-level technical infrastructure programs- Experience scaling technical infrastructure operations- Experience delivering program updates to executive stakeholders- Experience managing infrastructure deployment projects- Experience leading the buildout of physical data centers and/or MDF/IDF spaces- Experience with physical layer telecommunications and WAN circuit delivery- Experience developing communications distribution design drawings and construction documentation- Working knowledge of network, server, and wireless infrastructure architecture- Flexibility to travel domestically and internationally, and work within global time zonesPREFERRED QUALIFICATIONS- Master's degree in Engineering, Computer Science, or related technical field- PMP certification- BICSI RCDD certification- DCDC, OSP, NTS, or PSP certifications- Experience in aerospace, manufacturing, or regulated industries- Strong influencing and stakeholder management abilities- Excellence in written and verbal communication- Proven ability to lead complex technical initiatives in ambiguous environments- Track record of building scalable operational processesAmazon 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 $133,800/year in our lowest geographic market up to $231,300/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 (AWS) is seeking a Data Center Structural Engineer to join its design team. AWS designs, builds, and operates Data Centers (DC) around the world and is a leader in worldwide cloud-computing infrastructure. Engineers in AWS work to design resilient, cost effective DC facilities. Our team is responsible for achieving a world class uptime for our customers and drive to develop a fleet of buildings emphasizing security, safety, efficiency, and cost effectiveness, while finding new ways to meet AWS’s growing demand. As a DC Structural Engineer at AWS, you will be part of the design team for Amazon DCs in our Americas Region and impact other projects around the world. As a Structural Engineer at AWS you will be part of a highly creative and efficient design team comprised of Architects, Engineers, and Designers tasked with solving problems and challenging the status quo. As a subject matter expert, you will have a direct impact on the design of prototypical DC facilities, provide technical guidance to team members, review milestone drawings by consultants, solve large scale implementation issues, and be responsible for structural design requirements. 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.About the teamo 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.o 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.o 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.o 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.o 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- ABET accredited Bachelor’s degree in civil or structural engineering- 7+ years experience in structural design for industrial or commercial projects- 5+ year of experience with design of large scale buildings such as Data Centers, Mission Critical Facilities, Hospital, Schools, or highly complex Commercial Tower facilities.PREFERRED QUALIFICATIONS- Master’s degree in Civil or Structural Engineering. SE Engineering license.- Experience with the design, construction, operation, or maintenance of DCs. Proficiency in building codes, regulations, and standard including IBC and ASCE.- Solid working proficiency with AutoCAD, Revit, Bluebeam, MS Office Suite, and other associated structural engineering tools. Detailed understanding of tilt-up and precast concrete structures, structural steel systems, seismic design, wind loading, snow loading, and forensic analysis of building design and construction defects.- Experience in value engineering for building structural systems. Design and calculation for auxiliary framing systems used to support cable tray, conduit, ductwork, etc. Design and review of non-structural components and non-building structures- Ability to evaluate the constructability of new technologies, and determine construction methods of data center equipment and facilities. To perform and present business case analysis. Ability and willingness to think outside of the box to find innovative solutions prior to and during the construction process to reduce costs without negative impacts on quality or reliability. 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 $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.

The Amazon Q Developer Science team is looking for an Applied Scientist who is passionate about building services and tools for developers that leverage artificial intelligence (AI) agents and machine learning (ML). You will be part of a team building AI-based services for Amazon Q Developer with the focus on redefining the way developer work. The team works in close collaboration with other AWS AI services such as AWS Bedrock, the AWS IDE Toolkit, and Amazon Sagemaker. If you are excited about working in cloud computing and building new AWS services, then we'd love to talk to you.Key job responsibilitiesAs a senior Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.You take a long-term view of the business objectives, product roadmaps, technologies, and how they should evolve. You drive mindful discussions with customers, engineers, and scientist peers. You bring perspective and provide context for current technology choices, and make recommendations on the right modeling and component design approach to achieve the desired customer experience and business outcome.About the teamWhy 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.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 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- 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 large scale distributed systems such as Hadoop, Spark etc.- Experience in building machine learning models for business applicationAmazon 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.

The Amazon Software Builder Experience (ASBX) organization that serve's Amazon's huge internal builder community is looking for a talented software development manager to lead the evolution of compute metadata for the massive internal compute clusters that power applications across the company, including AWS services like S3, SQS, DynamoDB, and IAM, as well as Amazon.com, Alexa, Prime Video, and more.This is an opportunity to work with some of the best and brightest in the industry, while innovating on new products and solutions and reinforcing AWS's strength in cloud availability. You will work in a team setting, solving technically challenging problems, as well as collaborating with other teams in Amazon Web Services, and Amazon's entire software development community.If you have what we’re looking for, come join a strong team in a highly-visible organization. You will have a significant impact on Amazon. Help us to create the next generation of systems that underpin the cloud, and delivering on the promise of elastic capacity at Amazon scale. We want to make it as easy as possible for application owners to create rapid change, and we need people who are excited to make managing applications in the cloud work for everyone.Key job responsibilitiesAs Software Development Manager in ASBX, you’ll be empowered to take ownership of a broad range of responsibilities, such as: * Directly hiring, retaining, and growing top engineering talent for your team.* Being a clear technical voice, partnering with other teams to deliver a service which will scale with the needs of the Amazon business. * Reliably delivering high quality technical solutions that will delight our customers. * Operating a critical service for the Amazon business.A day in the lifeYou will have the opportunity to lead and develop your team. You will drive feature delivery through all phases of the software production cycle including design, development, testing, deployment, operation and maintenance. We own and build every aspect of our services, from UI to back-end systems and databases. Because our technology plays a key role in Amazon’s ability to innovate you will have the chance to productively collaborate with a very large number teams.10025BASIC QUALIFICATIONS- 3+ years of engineering team management experience- 7+ years of working directly within engineering teams experience- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- 8+ years of leading the definition and development of multi tier web services 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 partnering with product or program management teamsPREFERRED QUALIFICATIONS- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineersAmazon 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 $166,400/year in our lowest geographic market up to $287,700/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.

In this role you will be responsible for leading a technical team which is critical in providing profiling and optimization tools for the Neuron ML accelerators fleet. You will work closely with the hardware and software teams to ensure the right tools are available for performance profiling of large ML workloads, identifying bottlenecks and automatically providing improvement recommendations. Neuron Core Tools develops and maintains a family of profiling software and provides ability for performance engineers to develop and improve custom kernels that would impact efficiency of large workloads.Key job responsibilities* Provide technical leadership to the Neuron Core Tools team* Work closely with the frameworks and compiler teams.* Collect requirements from various other teams including training, inference and runtime.* Collaborate with the compiler performance team to ensure timely release of the core performance tools.* Anticipate future needs based on the product roadmap and develop necessary tools to increase efficiency in large scale compute.About the teamOur 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 that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse 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.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 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 & 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.About Amazon Annapurna Labs:Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world’s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances.About AWS Utility Computing (UC):AWS Utility Computing (UC) provides 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, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio.About 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.About AWS Neuron:AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it’s all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more.BASIC QUALIFICATIONS- 10+ years of engineering experience- 10+ years of planning, designing, developing and delivering consumer software experience- Experience partnering with product or program management teams- Experience as a tech lead of a large group of engineersPREFERRED QUALIFICATIONS- Experience designing and developing large scale, high-traffic applications- Experience with ML hardware/Software- Experience with ML compilers and custom kernels for AI.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 $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.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington area. Are you eligible You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U. S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analytics - Network Security & Support Get the skills and opportunity you need to launch your professional career. 75% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.

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.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 the SAP Manufacturing Integration & Intelligence (SAP MII) developer, you will manage the design, development and implementation of SAP MII projects connected to Enterprise Systems that allow for the rapid development and production of Space Hardware. The implementation of these systems are critical to scalability and cost effective business operations. We are looking for candidates who thrive in a fast-paced, start-up like environment. To be successful you need to be highly motivated and detail oriented while showing highest standards of execution.You will conduct defect analysis and perform necessary fixes and improvements. Collaborate with functional owners, architects and other personnel to develop dynamic and flexible systems to meet the emerging demands of internal customers in manufacturing. Review program codes and correct MII program errors. Maintain and update existing program codes as needed. Develop technical specification and estimations for assigned project. Work in compliance with the programming and documentation standards and solve production problems in a timely manner.Key job responsibilities• Build SAP ME and SAP MII based solution and handle all the deployment related activities. Build reports and deploy. Integration with ERP and Shop Floor Systems.• Active participation in Integration Test, User Acceptance Test and MES startup to ensure success and meet customer requirements.• Ensure that the deployed applications perform as per customer expectations and there are no performance issues• Building Proof of Concepts (POCs) using SAP ME and SAP MII as the service based on the business requirements• Lead the solution design and develop SAP MII applications to populate real and historical data extracting information from data sources Kepware, SAP S/4 HANA and shop floor systems (MII, Historian, etc.) for reporting and analysis.• Support improvement for areas including PP-PI, QM, MM, PM, PCo, and Scheduling.• Develop Web applications using SAP MII, PCo, Kepware, and SAP S/4 HANA• Develop Printing labels, Travelers documents, and purchase order receipt label, process order receipts, and shop floor forms in MII system.• Improve performance of the applications and servers through Performance tuning/sizing of servers, and changing the design and fine tuning the SQL queries.• Support various testing procedures (Unit testing, Integration testing, class room testing, shop floor testing).A day in the lifeYou will conduct defect analysis and perform necessary fixes and improvements. Collaborate with functional owners, architects and other personnel to develop dynamic and flexible systems to meet the emerging demands of internal customers in manufacturing. Review program codes and correct MII program errors. Maintain and update existing program codes as needed. Develop technical specification and estimations for assigned project. Work in compliance with the programming and documentation standards and solve production problems in a timely manner.About the teamProject 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.Our team focuses on building Enterprise System Applications for manufacturing satellites. Your customers are Manufacturing, Operations and the Supply Chain teams at Kuiper.BASIC QUALIFICATIONS- Experience leading the design, automation, deployment, and support of large-scale infrastructure- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust- Experience with Linux/Unix- Experience with CI/CD pipelines build processesPREFERRED QUALIFICATIONS- Experience with distributed systems at scaleAmazon 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.

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.

AWS Utility Computing (UC) provides 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, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio.Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time agoeven yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machinelearning accelerators and the Trn1 and Inf1 servers that use them. This role is for a senior software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. This role is responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive scale large language models like GPT2, GPT3 and beyond, as well as stable diffusion, Vision Transformers and many more. The ML Apps team works side by side with chip architects, compiler engineers and runtime engineers to create , build and tune distributed training solutions with Trn1. Experience training these large models using Python is a must. FSDP, Deepspeed and other distributed training libraries are central to this and extending all of this for the Neuron based system is key.Key job responsibilitiesThis role will help lead the efforts building distributed training and inference support into Pytorch, Tensorflow, Jax using XLA and the Neuron compiler and runtime stacks. This role will help tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and the TRn1 , Inf1 servers. Strong software development and ML knowledge are both critical to this role.About the teamAbout the teamOur 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 that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse 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.About 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 & 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- - 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- - 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 equivalent- - Machine Learning knowledge in frameworks and end to end model training.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 $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.

As part of the AWS Applied AI Solutions organization, we're advancing the frontier of visual reasoning and agentic AI technologies. Our vision is to develop sophisticated AI systems that can understand, interpret, and reason about visual information at human-like levels, enabling breakthrough applications across multiple industries.Key job responsibilities* Develop a novel agentic AI framework to solve diverse visual AI challenges in the physical world* Advance the theory and practice of multi-modal foundation models for visual understanding* Design new approaches to memory and attention mechanisms for processing continuous visual streams* Create innovative techniques for efficient visual processing that can scale to real-world applications* Research new methods for autonomous decision-making based on visual inputs* Investigate approaches to reduce the computational and data requirements of visual reasoning systemsA day in the lifeAs an Applied Scientist, you'll conduct fundamental research in visual reasoning while maintaining a clear path to practical applications. You'll investigate novel architectural approaches, develop new theoretical frameworks, and validate ideas through rigorous experimentation. You'll collaborate with other scientists and engineers to transform research insights into scalable solutions, publish your findings in top-tier conferences, and help shape the future direction of visual AI technology.Leveraging and advancing generative AI technology will be a big part of your charter as we seek to apply the latest advancements in generative AI to industry-specific problems About the teamOur research team is tackling fundamental challenges in visual reasoning that combine generative AI and agentic frameworks. We're investigating novel approaches to how AI systems understand spatial relationships, reason about object interactions, and maintain contextual awareness across time. Working at the intersection of computer vision and large language models, we're developing theoretical frameworks and practical techniques that advance the state-of-the-art in visual AI.Diverse Experiences AWS 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.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 CultureAWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.Mentorship & 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.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.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related languagePREFERRED 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.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington area. Are you eligible You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U. S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analytics - Network Security & Support Get the skills and opportunity you need to launch your professional career. 75% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.

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.

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.

AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia and Trainium chips, deliver industry-leading ML inference and training performance at the lowest cost in the cloud. This is all enabled by edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler and runtime and natively integrates into popular ML frameworks, such as PyTorch, JAX, TensorFlow and MxNet. AWS Neuron is is widely adopted by customers and partners like such as PyTorch, Epic Games, Snap, Airbnb, Autodesk, Alexa, and Rekognition.Amazon Annapurna Labs drives innovation in silicon and software for AWS, blending cloud-scale impact with world-class engineering talent. Our multidisciplinary team spans silicon design, hardware verification, software, and operations. We operate in large, complex domains with small, agile teams, fostering continuous learning and rapid innovation. With no set blueprint, we thrive on experimentation and offer a uniquely dynamic and enriching environment across a wide range of AWS products and services. Learn more about our history: https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success We are seeking an accomplished Software Engineering Manager with strong leadership and mentoring capabilities to join our Deep Learning Compiler team. In this Manager III role, you will lead a team of seasoned compiler and software engineers in the design and development of a machine learning compiler simulator and verifier. The simulator simulates the model execution at different stages of compilation, targeting AWS Inferentia and Trainium chips. The verifier statically checks for correctness and key conditions within the compilation process, enabling early detection and prevention of failures. Together, they play a critical role in enhancing development efficiency, streamlining debugging, and enabling rapid prototyping. You need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron Manager, innovating on behalf of our customers. You will leverage your technical skills as a hands-on partner to AWS ML services teams, involved in pre-silicon design, bringing new products/features to market. Explore the Product: https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html, https://github.com/aws/aws-neuron-sdk https://aws.amazon.com/machine-learning/neuron/, https://aws.amazon.com/machine-learning/neuron/A day in the lifeAbout this hiring groupInclusive Team Culture Here at Annapurna Labs, 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 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 future.About the teamInclusive Team Culture Here at Annapurna Labs, 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 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 future.BASIC QUALIFICATIONS- B.S. or M.S. in Computer Science or related field- 5+ years of engineering team management experience- Experience partnering with product management- Strong knowledge of developing and/or managing simulation software- Solid understanding of compilers (specifically, resource management, instruction scheduling, code generation, and compute graph optimization)PREFERRED QUALIFICATIONS- M.S. or Ph.D. in Computer Science or related technical field- Experience with and deep learning models and algorithms.- Experience with LLVM, LMIR- Interactions with open-source communitiesAmazon 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 $166,400/year in our lowest geographic market up to $287,700/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’s builders are able to deliver the magic that gets packages to your front door and safely scale those capabilities to millions of customers because they can find the information they need. Amazon is looking for an Applied Scientist to help drive our discovery strategy for Amazon’s trove of knowledge.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 customers who require specialized security solutions for their cloud services.Key job responsibilities* Use deep learning, ML and NLP techniques to create scalable solutions for creation and development of language model centric solutions for building personalized assistant systems based on a rich set of structured and unstructured contextual signals* Innovate new methods for contextual knowledge extraction and information retrieval, using language models in combination with other learning techniques, that allows effective grounding in context providers when considering memory, compute, latency and quality* Research in advanced customer understanding and behavior modeling techniques* Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in personal knowledge aggregation, processing, modeling, and verification* Design and execute experiments to evaluate the performance of state-of-the-art algorithms and models, and iterate quickly to improve results* Think Big about the arc of development of conversational assistant system personalization over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems* Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports* Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the teamA day in the lifeThe Amazon Software Builder Experience (ASBX) organization has a mission of creating the world’s best builder experience across tens of thousands of software engineers, and all Amazon businesses (e.g., AWS, Amazon Stores, etc.). Our Knowledge Tech team in ASBX owns the discovery tools that software developers use to build and innovate on behalf of our customers. This role is for you if you’re passionate about software development, discovery tools, and having world-wide impact across all of Amazon! In addition to delivering results, we also appreciate establishing a work-life-balance, having fun with our co-workers, and supporting an inclusive and collaborative team environment.10025About the teamDiverse Experiences AWS 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.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 CultureAWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.Mentorship & 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.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.BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application 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.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington area. Are you eligible You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U. S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analytics - Network Security & Support Get the skills and opportunity you need to launch your professional career. 75% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.

Join us in the evolution of Amazon’s Seller business! The Seller Growth Science organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources.We are looking for a Senior Applied Scientist to lead us to identify data-driven insight and opportunities to improve our SP growth strategy and drive new seller success. As a successful applied scientist on our talented team of scientists and engineers, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user and builder of statistical models and put them in production to answer specific business questions. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research).Key job responsibilitiesAs a Sr. Applied Scientist in the team, you will:- Identify opportunities to improve SP growth and development process and translate those opportunities into science problems via principled statistical solutions (e.g. ML, causal, RL).- Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in MLOps.- Design and lead roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers.- Work with our engineering partners and draw upon your experience to meet latency and other system constraints.- Identify untapped, high-risk technical and scientific directions, and simulate new research directions that you will drive to completion and deliver.- Be responsible for communicating our science innovations to the broader internal & external scientific community.BASIC QUALIFICATIONS- 4+ years of applied research experience- 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.

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.The eCommerce team is seeking engineers who are interested in building the next generation eCommerce platform that is highly scalable, fully automated and always available.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* Collaborate with engineers across the organization to gather requirements, design, develop, deploy, and operate critical e-Commerce software for Kuiper.* Work on initiatives building e-Commerce functions on AWS infrastructure and help implement best practices for software development.* Develop code, build CI/CD pipelines, test automation, and dashboards for monitoring health of systems.* Help engineers and build solutions which are required for provisioning and operating an Internet service providers.A day in the lifeHave you wanted an opportunity to develop the software applications and services for an advanced global communications service This role is for a Software Development Engineer who will design, build, and maintain components and services of Project Kuiper's Customer eCommerce Services and interact with the core Kuiper Network.About the teamOur team owns developing the architecture, solutions & roadmap for managing the customer lifecycle for communications services; including identity and account management, subscriber management services, user provisioning, billing and payments, customer and technical support tools, offer management tools, and customer metrics and analytics.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 Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them.As the Software Development Manager for the Tools Team, you will be responsible for leading a talented team of engineers to develop and maintain high-performance monitoring and profiling tools for machine learning applications and AI accelerators. You will oversee the design, development, and deployment of the Neuron Profiler and other Neuron Tools. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior.In this role, you will manage the full development life cycle of the Neuron Profiler/Tools toolchain, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler and runtime generates key information so customers can understand and optimize the performance of our custom hardware. Additionally, you will drive innovations that allow the profiler to support multiple frameworks, such as PyTorch, TensorFlow, and XLA.A successful candidate will have an established background in building AI/ML and performance analysis tools. Experience with ML-specific profiler tools (like PyTorch Profiler or TensorFlow Profiler) is highly desirable, along with along with direct customer-facing experience and a strong motivation to achieve results.A day in the life day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale.About the teamInclusive 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 engineering team management experience- 7+ years of working directly within engineering teams experience- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- * Experience partnering with product or program management teams- * Experience in C++, Go, and PythonPREFERRED QUALIFICATIONS- * 2+ years experience leading teams that in Machine Learning development including building and training large models, working with Pytorch and/or Tensorflow using large distributed fleets of GPU or other accelerated systems.- * Experience with Linux distributions such as Ubuntu or CentOS, kernel development, and tooling such as perf and gdb.- * Experience with performance profiling, tracing, and analysis of AI training/inference applications.- * Experience with large scale, distributed AI training/inference applications, including libfabric, MPI, slurm, and EKS.- * Experience with fleet monitoring, debugging, and reliability.- * Knowledge of AI-powered optimization suggestions for profiling would be an advantage for this position.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 $166,400/year in our lowest geographic market up to $287,700/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.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington area. Are you eligible You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U. S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analytics - Network Security & Support Get the skills and opportunity you need to launch your professional career. 75% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.

As part of the AAIS 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.Amazon Just Walk Out as a Service (JWOS) delivers infrastructure solutions to our Retail Customers to simplify and improve the shopping experience. Our enterprise-ready autonomous retail technology enables shoppers to simply enter a store, grab what they want, and just go. Born from years of experience at Amazon Go, Just Walk Out uses a combination of technologies to eliminate checkout lines and bring fast and convenient checkout experiences to shoppers. We work on the most challenging problems, with thousands of variables impacting the delivery and we’re looking for talented people who want to help.Are you excited about partnering with retail leaders to drive high-visibility; revenue-generating projects Are you equally comfortable working with both design and technology development teams to meet daily business requirements We are looking for an Sr. Program Manager with a strong delivery record and deep program management experience to own and execute strategic, cross-functional operations and technology projects. This role will work across various internal teams and external service providers to evaluate coverage across multiple global geographies and across multiple disciplines/categories. If you are looking for a broadly-scoped role within a fast-paced, ambiguous and highly collaborative environment, then this role could be a great position for you.The Sr. Program Manager combines high-level program management with a focus on Operational Excellence. The Sr. Program Manager will be responsible for building mechanisms and best practices, identifying gaps in coverage and service level, and managing the delivery and quality performance of Just Walk Out launches. The role includes managing the Technical Operational Excellent and Retrospective Programs to drive improvements to JWO launch performance. You will lead cross-organizational business reviews, lead the development and implementation of infrastructure risk reduction and mitigation projects. You will drive projects and initiatives that deliver better experiences for internal customers and our 3rd party providers, and scale how the team manages its responsibilities. The successful candidate will possess solid business judgment, with a track record of strong program management skills, internal/external relationship management, and experience in physical retail end to end processes. You'll need to be adept at breaking down intricate problems, synthesizing data-driven insights, and crafting clear, measurable implementation and process improvement plans. Additionally, the ability to effectively communicate your vision and recommendations to senior leadership is essential. If you have an analytical mindset with a strong business mindset, a talent for developing innovative solutions, and the presence to present to senior stakeholders, we encourage you to apply. Join our fast-paced, diverse team and be a part of shaping the future of Just Walk Out technology. This is your chance to make a meaningful contribution to the continued growth and success of Amazon Web Services. Additionally, this position involves working with multiple stakeholders (Business Development, Marketing, Product Management, Implementation Management, Store Design, Finance, Legal, Tax and Accounting, among others).Key job responsibilities- Lead cross-organizational business reviews with key infrastructure providers- Lead development and implementation of infrastructure risk reduction and mitigation solutions- Identify and drive targeted improvement initiatives to raise service performance - Empower internal customer teams like Implementation Management, Construction Engineering, Design Management by facilitating issue resolution and ongoing performance improvement efforts across the Launch process- Lead design and implementation of initiatives and process improvements that deliver better experiences for internal customers and our JWO 3rd party providers, and scale how the team manages its responsibilities.A day in the lifeInclusive Team CultureHere at Amazon, 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-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 opportunities based on what will help each team member develop into a better-rounded contributor.About the teamAmazon Just Walk Out as a Service (JWOS) delivers infrastructure solutions to our Retail Customers to simplify and improve the shopping experience. Our enterprise-ready autonomous retail technology enables shoppers to simply enter a store, grab what they want, and just go. Born from years of experience at Amazon Go, Just Walk Out uses a combination of technologies to eliminate checkout lines and bring fast and convenient checkout experiences to shoppers. We work on the most challenging problems, with thousands of variables impacting the delivery and we’re looking for talented people who want to help. BASIC QUALIFICATIONS- 5+ years of program or project management experience- Experience using data and metrics to determine and drive improvements- Experience owning program strategy, end to end delivery, and communicating results to senior leadershipPREFERRED QUALIFICATIONS- 2+ years of driving process improvements experience- Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related fieldAmazon 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 $104,100/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.

One Material Handling System (OMHS) is building Amazon's in-house material handling capabilities, transforming how Amazon designs, builds, and operates its facilities. As Amazon's internal material handling system integrator, we combine precision in technical project management with the vision needed to revolutionize our material handling capabilities. We are seeking a talented and motivated Principal Technical Infrastructure Program Manager who will exemplify ownership of their assigned material handling projects, ensuring successful implementation across Amazon's network. Our P-TIPM works closely with WWDE, Operations Engineering, strategic suppliers, and cross-functional teams to deliver complex material handling systems. This role requires both strategic vision and tactical execution to standardize project delivery while maintaining the high standards that complex material handling systems demand. You will drive projects through our comprehensive Project Lifecycle Framework, from initiation through commissioning and handover, while helping establish the processes and playbooks that will enable OMHS to scale across Amazon's network. Key job responsibilitiesIn partnership with WWDE, Operations Engineering, and strategic suppliers, this individual will drive the execution strategy for material handling system implementations. This position will provide project leadership throughout the entire lifecycle of specific project(s) of a particular building type (ARS, SSD, AMZL, IXD). - You will serve as the single-threaded leader between engineering teams, operations, and implementation partners. - You will lead cross-functional communications and strategic planning for material handling system deployment, determine KPIs, and drive standardization initiatives. You must be obsessed with execution excellence, creating mechanisms and processes that increase velocity while maintaining quality. You will be key in assisting in the development of our Project Lifecycle Framework and implementation playbooks. - This role requires building relationships with Amazon development and operations teams and with senior leaders. - Drive technical integration strategy and execution for complex material handling systems - Lead end-to-end system implementation programs spanning mechanical engineering, controls integration, power systems, and operational requirements of specific project(s) of a particular building type (ARS, SSD, AMZL, IXD) - Customize and execute standardized technical deployment methodologies and integration playbooks to enable implementation of Amazon-spec material handling equipment - Execute complex material handling projects through all lifecycle phases while ensuring technical requirements, performance standards, and operational metrics are met - Coordinate between specialized engineering disciplines (mechanical, electrical, controls) and maintain ownership for system integration approaches - Drive continuous improvement in technical integration methods, system performance standards, and commissioning procedures - Manage technical partnerships with OEMs and 3P engineering firms to ensure optimal system design and integration - Leverage technical knowledge management systems and engineering documentation standards for material handling implementations - Maintain alignment between engineering teams, operations stakeholders, and external partners on technical requirements and system specifications - Proactively identify and mitigate technical risks in system design, integration approach, and operational implementation - Define technical standards and best practices for material handling system implementations for specific project(s) A day in the lifeCollaborate with cross-functional teams to execute material handling system implementations while establishing standardized processes for future deployments. Develop and deliver project execution strategies and detailed plans to drive implementation from initiation through commissioning, ensuring program success across multiple simultaneous projects. Interface with strategic partners to ensure successful integration of Amazon-spec equipment.BASIC QUALIFICATIONS- Bachelor's degree in Engineering and 15+ years experience, preferably in design, specification, project management and execution of large-scale complex material handling systems, or domain expertise in one of the following disciplines: industrial, mechanical, electrical, or civil engineering; industrial or construction management - 10+ years managing core project management disciplines including scope, schedule, budget, resources, quality and risk management, reporting and metric development/tracking - Demonstrated ability to lead complex technical initiatives and influence across organizations without direct authority - Strong understanding of material handling equipment and systems integration - Experience in manufacturing/operations/supply chain analysis, and process improvement (eg. Lean Six Sigma) - Proven track record of delivering complex technical projects on time and on budget - Excellence in stakeholder management and cross-functional leadership - Excellent written and oral communication skills, proven problem-solving skills, and strong organizational skills - Ability to handle multiple competing priorities in a fast-paced, matrix environment - Demonstrated ability to use data and metrics to back up assumptions and evaluate outcomes - Ability to roll up sleeves and operate as an individual contributor to get the job done - Able to travel up to 30%, US and International PREFERRED QUALIFICATIONSAdvanced degree in Engineering or related technical field Experience with material handling equipment integration and systems Experience with conveyor control systems and automation Experience with cross-belt sorters and complex material handling systems Project Management Professional (PMP®) certification Six Sigma certification Experience working with material handling OEMs and integration partners Track record of establishing standardized processes and playbooks Experience scaling technical project delivery organizations 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 $159,200/year in our lowest geographic market up to $275,300/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. Key job responsibilitiesHave you wanted an opportunity to develop the core wireless and networking for an advanced global telecom service spanning both space and terrestrial networks Have you wondered what it takes to solve a multi-dimentional routing problem at global scale Project Kuiper's SDN team will design, implement and operate Kuiper's network control plane. This service will enable a high throughput telecom service using a system of LEO satellites, customer terminals, gateways, cloud services, and terrestrial network infrastructure that connect into public and private networks. For this role, you will:- Take responsibility for designing and delivering a modern, flexible, scalable, high throughput, low latency network architecture- Implement planning and scheduling of network links at scale.- Implement highly-available software that will drive networking control plane operation on physical and remote nodes- Define and automate processes used for software development, implementation, testing, and maintenance- Provide operational excellence for control plane services, to including enabling tools and definition/refinement of operational processes- Developing software using AWS microservicesExport 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 lifeThis is an opportunity to be at the heart of the design, building and operation of a massive satellite constellation and terrestrial network. We interact with the satellite ground control services, the customer engagement systems and monitoring services to constantly fine-tune our network and deliver a high quality service to our customers. You will be responsible to build the best network for our customers.About the teamThe SDN Control Plane team is building the brain driving the Kuiper Network. Innovation is in our DNA and we tackle the problems presented by a dynamic network at global scale. It is our responsibility to ensure that the network works and our customer has a one-of-a-kind experience using our service.Our team will design, implement and operate the control plane that provides a high throughput telecom service comprised of Low Earth Orbit satellites, customer terminals, gateways, Cloud services and terrestrial network infrastructure that connects into public and private networks. 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.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington area. Are you eligible You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U. S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analytics - Network Security & Support Get the skills and opportunity you need to launch your professional career. 75% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.

DESCRIPTIONAWS Utility Computing (UC) provides product innovations from foundational services such asAmazon Elastic Compute Cloud (EC2), to new product innovations that continue to set AWS’sservices and features apart in the industry.We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloudscalemachine learning accelerators. Come optimize LLMs such as Llama and GPT OSS to runreally fast on Trainium.As the SDM for the Neuron Inference Technology building blocks team, you will guide yourexpert AI engineers to build fundamental inference technology building blocks and libraries toenable AI developers to optimize model for inference on Trainium and Inferentia devices. We’recurrently focusing on MoE models such as GPT OSS for Trainium 2 and the upcomingTrainium 3. You will develop and optimize blocks such as attention kernels anddeliver them in the Neuronx_Distributed Inference Libraries, enabling customers to optimizeLLMs, multimodal, and generative models.The ideal candidate will have an established background in optimizing LLMs, such as deliveringhigh-performance models using distributed inference libraries. You should be capable ofmanaging demanding, fast-changing priorities. You should have a strong technical ability tounderstand and deliver as part of a vertically integrated system stack consisting of the PyTorchinference library, Neuron compiler, runtime and collectives.A day in the lifeYou will work with your senior management and technical leaders to define the building blocksfor the latest LLMs, build and deliver them to customers. You will manage changing priorities asnew models and new technologies emerge, and you adapt your team’s work to manage them.You will dive deep to help your team solve technical challenges.About the teamAbout AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloudplatform. We pioneered cloud computing and never stopped innovating that’s whycustomers from the most successful startups to Global 500 companies trust our robust suite ofproducts and services to power their businesses.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listedin the job description, we encourage candidates to apply. If your career is just starting, hasn’tfollowed a traditional path, or includes alternative experiences, don’t let it stop you fromapplying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense ofsacrifices at home, which is why we strive for flexibility as part of our working culture. When wefeel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.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-advancingresources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 3+ years of engineering team management experience- 7+ years of working directly within engineering teams experience- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- Experience partnering with product or program management teamsPREFERRED QUALIFICATIONS- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineersAmazon 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 $166,400/year in our lowest geographic market up to $287,700/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.

We are seeking a Senior Applied Scientist to drive innovation in machine learning and artificial intelligence for Amazon's autonomous delivery systems. In this role, you will develop novel algorithms and models that power our autonomous vehicle perception, prediction, and decision-making systems. You will combine rigorous scientific methodology with practical engineering to solve complex problems in real-world autonomous navigation and delivery.Key job responsibilities- Design and develop advanced machine learning models and algorithms for autonomous vehicle systems- Lead research initiatives in areas such as computer vision, sensor fusion, behavioral prediction, and path planning- Transform research concepts into production-ready solutions that meet strict safety and performance requirements- Develop novel approaches to solve complex technical challenges in autonomous navigation- Create and implement metrics and evaluation frameworks to measure model performance- Collaborate with engineering teams to integrate ML solutions into the autonomous vehicle stack- Publish research findings and represent Amazon at technical conferences- Mentor junior scientists and contribute to building a culture of scientific excellenceA day in the lifeA typical day for a Senior Applied Scientist begins with analyzing experimental results from recent model deployments. They might spend the morning developing new deep learning architectures for sensor fusion or improving prediction models for pedestrian behavior. Mid-day could involve collaborating with engineering teams to optimize model performance and reduce inference latency. Afternoon activities might include designing experiments to validate new approaches, reviewing research papers for potential application, and participating in technical discussions to solve challenging problems in perception or planning. They would regularly engage in code reviews, documentation of methods, and mentoring of team members. The role requires balancing innovative research with practical implementation, ensuring that scientific advances translate into reliable autonomous system capabilities.About the teamThe Applied Science team within Amazon's Last Mile Delivery Automation organization focuses on developing cutting-edge machine learning solutions for autonomous systems. We work at the intersection of computer vision, deep learning, robotics, and control systems to create robust and scalable algorithms that enable safe autonomous operation. Our team combines expertise from diverse scientific backgrounds to tackle fundamental challenges in perception, prediction, and decision-making. We collaborate closely with software engineering teams to deploy our solutions across Amazon's autonomous delivery fleet.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.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington area. Are you eligible You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U. S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analytics - Network Security & Support Get the skills and opportunity you need to launch your professional career. 75% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.

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 an RF Engineer you will engage with an experienced cross-disciplinary team to develop new, advanced test systems for our Digital Phased Array systems, integrating them with our existing test infrastructure. We have near field spherical scanners, robotic manipulators and advanced RF optics that account for some of the fastest antenna characterization systems in the world, but we need to keep expanding our test coverage and improve accuracy and tighten repeatability. These systems employ RF and mixed signal electronics that allow us to test antennas from 400 MHz to 40 GHz. We need to also expand coverage to V band as well as multiply the test speed and capacity.Key job responsibilitiesYour will leverage your experience in RF electronics to design new acquisition systems, and troubleshoot existing ones looking at the acquired results in both near field and far field, and thus isolate issues relative to RF circuit, test equipment, setup, array calibration and software/RF system. You will exercise pragmatism and write automation code (Python, SCPI, C/C++, Rust) to devise test setups and procedures that are simple, easy to develop and maintain, yet able to perform all requirement verification tasks. You’ll use documentation and communication skills to report test metrics and requirement pass/fail to Antenna designer, Array designers, Software team, and other teams.Key job responsibilitiesDevelop our test infrastructure to measure antenna performance metrics of digital phased array systems and customer terminals in near and far field chambers, and automate the tests.Define test plans and procedures for lab and chamber testing, ensuring the required test coverage to verify requirements and validate modelsDevelop automation routines to control equipment (ATE) and our custom-made antenna test system to accelerate antenna beam pattern test.Implement, validate, and optimize lab and chamber test configurations.Develop required post-processing to analyze test results.Document and interpret test results, troubleshoot issues, performing root-cause analysis for any test failures.Communicate status and issues effectively with developers and managers.Meet with suppliers to select enabling lab technologies.Shepherd antennas and customer terminals through test campaigns throughout the development lifecycle, from concept to implementation to integration.About the teamThe Kuiper Antenna Test Infrastructure team provides the test systems and techniques to verify Payload, CT and full satellite vehicle hardware, integrates the test automation and connects the dots between Responsible Engineers and their product's test metrics. The team is a pivotal point for a multitude of other teams and orgs, our internal customers. An it's highly multidisciplinary: SysDE, SDE, ME, Metrology, Antenna, FPGA and Lab Ops all converge in the same room.BASIC QUALIFICATIONS- Master's degree in electrical engineering, computer engineering, or equivalent- Experience in developing functional specifications, design verification plans and functional test procedures- 5+ years of professional, non-internship experience EM modeling in 2.5D and 3D EM tools- 5+ years of experience in RF design and modeling with linear and non-linear simulation tools- 5+ years of experience with MATLAB- Professional, non-internship experience with design, implementation and verification with launched RF products.- Experience with lab work and RF test equipment- Experience with Automation of Test EquipmentPREFERRED QUALIFICATIONS- Experience working with interdisciplinary teams to execute product design from concept to production- Experience with the project management of technical projects- Experience in the design of complex mechanical products and equipment at volume- Preferred qualifications- MSc or PhD in EE with RF- or antenna-related thesis research- Strong foundations in RF Electronics- Strong foundations in Digital communication systems- Strong foundations in antennas- Excellent mathematical skills- 5+ years of professional, non-internship experience designing RF products and building blocks such as filters, hybrids, combiners, active RF circuits and front-end design- 2+ years of experience programming Automated Test Equipment- Experience with testing of digitally modulated signalsAmazon 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.