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.

In this role, you will manage a team responsible for Provisioning Software on Kuiper satellites. Our mission is to ensure that we provide robust systems software to all the various compute systems on the satellite. Our focuses are on reliability, safety, and security.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. In this role, you will bring that vision to life by designing, developing and testing the embedded software that controls individual satellites.Key job responsibilities- Hire and support top talent to meet goals of the team.- Define and drive the multi-year vision for the team.- Oversee resource allocation to ensure appropriate business and staff development goals are met.- Participate in strategic planning to achieve technical and business goals.- Work closely with engineers to architect and deliver the best technical designs and approaches.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.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- 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.

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

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.

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.

Do you like helping Independent Software Vendors (ISVs) implement innovative cloud computing solutions and solve technical problems Would you like to do this using the latest cloud computing technologies Do you have a knack for helping groups understand application architectures and integration approaches, and the consultative and leadership skills to launch a project on a trajectory to success Do you want to be part of the Solution Architecture team helping to establish Amazon Web Services (AWS) as a leading technology platform Would you like to be part of a sales group, but have your opinion valued as a technical resource as part of planning and strategies Amazon Web Services is looking for a highly motivated Solutions Architect to help accelerate our growing GovTech business as part of the World Wide Public Sector practice, working closely with Government Technology companies. As a Solutions Architect within AWS, you will have the opportunity to help shape and deliver on a strategy to build broad use of Amazon's utility computing web services (e.g., AWS EC2, AWS S3, AWS RDS, and AWS CloudFront) directly with customers and our ecosystem of system integrators and solution providers. Your broad responsibilities will include: owning the technical engagement and ultimate success around specific implementation projects; defining implementation architectures, responding to RFPs, developing a deep expertise in the AWS technologies as well as broad know-how around how applications and services are constructed using the AWS platform; and being a subject matter expert on security as it relates to customer applications and services.As a Solutions Architect on our team, you will provide exceptional technical design and thought leadership to the GovTech markets for cloud computing working with a world class sales and business development team. You will lead efforts to capture and share best-practice knowledge amongst the AWS solution architect community. You will gain the opportunity to learn from, collaborate with, and educate some of the brightest technical minds in the industry today across the breadth of enterprise architecture.We are looking for someone who is passionate about the following:- Helping our customers to design and create cloud computing architectures- Being a Strategic Advisor- Our company credo: “Work hard. Have fun. Make history.” It’s critical to love what you do and take pride in your value proposition to our customers.- Deep-dive technical discussions around design and an intellectual curiosity to always keep your technical skills current while maintaining a pulse on industry trends.With experience in the following key areas:- Technical presentation experience – White board, small and large group presentations- Technical – Web Services development/deployment experience, cloud computing- Operational – Web site/services operations, management, and securityAbility to travel 30%About the teamThe GovTech Solution Architecture team mission is to be the best technology enabler for GovTech ISVs and allow them to achieve their goals by guiding them through their business & technology strategy and the use of AWS services.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. 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 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. We are an exciting diverse group of Solution Architects which helps commercial software companies and partners serve the needs of public sector entities.BASIC QUALIFICATIONS- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience- 3+ years of design, implementation, or consulting in applications and infrastructures experience- 10+ years of IT development or implementation/consulting in the software or Internet industries experiencePREFERRED QUALIFICATIONS- 5+ years of infrastructure architecture, database architecture and networking experience- Experience working with end user or developer communities- Knowledge of software development tools and methodologiesAmazon 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 $138,200/year in our lowest geographic market up to $239,000/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.

At RapidScale, exceptional technology is powered by exceptional people. As a growing leader in secure, reliable managed cloud solutions, we help mid-market through enterprise organizations simplify IT and unleash innovation. With a broad portfolio spanning AWS, Azure, and Google, as well as a full suite of Private Cloud and Cybersecurity solutions, RapidScale enables companies to turn technology into their greatest competitive advantage. Backed by the strength of the Cox family of companies, we offer best-in-class benefits, a commitment to work-life balance, and an award-winning workplace experienceAs the Senior Manager of Public Cloud Sales, you will lead a high-performance team of true hunter sales professionals focused on acquiring net-new customers and capturing competitive market share. Your team's mission will be to aggressively penetrate target accounts, self-source opportunities, and close strategic cloud deals across RapidScale's managed AWS, Azure, and Google Cloud services.You will be responsible for building, coaching, and driving a quota-carrying team of Public Cloud Specialists who thrive in competitive, enterprise sales cycles. This is a hands-on sales leadership role - you will set the pace by actively engaging in pursuits, refining prospecting strategies, and removing barriers to deal closure.Success in this role requires a relentless focus on pipeline generation, precision in deal execution, and the ability to inspire a results-driven culture that consistently exceeds aggressive growth targets. You will work cross-functionally with Cox Business, Indirect Sales, and strategic partners to expand market reach and accelerate revenue growth.Key ResponsibilitiesOwn and exceed monthly, quarterly, and annual sales targets, with a primary focus on net-new logo acquisition.Recruit, hire, and onboard hunter-oriented Public Cloud Specialists capable of self-sourcing and closing complex, competitive opportunities.Lead, coach, and hold the team accountable for prospecting activity, pipeline health, and conversion metrics.Actively support high-stakes pursuits, driving sales strategy, positioning, and executive engagement.Partner with the Senior Director of Public Cloud Sales to align territory strategies and go-to-market execution.Collaborate with Cox Business and indirect/channel partners to maximize co-selling opportunities and expand market coverage.Build and maintain relationships with hyperscaler partners (AWS, Azure, Google Cloud) to drive joint pipeline generation.Work with marketing to create targeted campaigns that fuel top-of-funnel growth in priority markets.Provide market and competitive feedback to product, operations, and leadership to guide strategy and innovation.Represent RapidScale at key industry events, partner meetings, and executive customer engagements.Required QualificationsBachelor's degree and 8+ years in cloud/managed IT services (including 5+ years in AWS, Azure, or Google Cloud); OR 12+ years in lieu of a degree.3+ years in a quota-carrying sales leadership role managing a high-performance team focused on net-new acquisition.Proven track record of competitive displacement and closing complex, multi-stakeholder enterprise cloud deals.Ability to travel up to 50% to support client, partner, and team engagement.Preferred QualificationsMSP or cloud systems integrator experience.Established hyperscaler ecosystem relationships.Technical fluency in cloud and IT services (IaaS, PaaS, DaaS, DRaaS, cybersecurity, etc.).Expertise in "sell-with" motions and matrixed sales environments.Familiarity with enterprise channels or telecom partnerships (e.g., Cox, Comcast, Lumen, AT&T).USD 129,500.00 - 194,300.00 per yearCompensation:Compensation includes a base salary of $129,500.00 - $194,300.00. The salary rate may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate's experience. In addition to the salary range identified herein, this role is also eligible for an annual incentive/commission target of $75,000.00.Benefits:The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.In California and Washington, we will consider non-driving candidates who use alternate means of transportation in accordance with applicable law.Application Deadline:

From the beginning, Starbucks set out to be a different kind of company.One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary partners who share this passion and are guided by their service to others. We are seeking a lead data solution architect who can help us create that connection by guiding Starbucks enterprise data modeling, data architecture design, data governance, data integration and performance optimization.As a lead data solution architect of our Enterprise and Solution Architecture team, this role is responsible for working with business and engineering team to design solution for ingesting, processing and syndicating data. The data solution architect ensures data are well organized for accessibility, security and reliability by maintaining data frameworks, models, and policies. They translate business needs into technical solutions. Meanwhile, they ensure the data follow best practice and enterprise standard to ensure long term healthy and success of the data platform. In this role, you willData Modeling:Creating conceptual, logical, and physical data models to represent how data is structured and used across the enterprise.Data Architecture Design:Providing solution architecture for specific business requirements as well as the overall enterprise data ecosystem. Developing and providing guidance on enterprise best practices for data ingestion, processing, and integrationData Governance:Establishing policies, standards, and procedures for data quality, security, and access to ensure data integrity and compliance.Data Lake Design and Management:Designing, implementing, and maintaining data lake to support reporting, analytics, AI/ML and other business requirements.Data Integration:Ensuring data from different sources can be seamlessly integrated and accessed.Performance Optimization:Monitoring database/data lake performance and identifying areas for improvement to ensure efficient data access and processing.Skills and experiences that will help you excel in this roleTechnical Skills:In-depth knowledge in architecting and implementing data Lakehouse platforms, including strong experience with Databricks platform and Unity Catalog.Experience with data management principles and best practices, including data governance frameworks using Collibra tool.Ability to create and manage conceptual, logical and physical data models, data definitions, data dictionaries. Experience with data modeling tool such as ER Studio.Ability to define, apply, review, and improve enterprise standards in object naming conventions, business vocabularies, and data models.Strong experience in designing data solutions to address data standards and principles both from functional and technical requirements perspective.Experience in Azure cloud and data bricks platform, AI/ML, reporting and analytics tools and technologies.Good understanding of master data and metadata management procedures to ensure data accuracy, consistency and compliance.Experience in working closely with data engineers, data scientists to optimize data integration workflows for scalability, cost management and service level agreements (SLAs).Knowledge of hub and spoke data architecture and data mesh principles is a plus.Proficiency in defining and developing ontologies, business taxonomies, and extended object metadata is a plus.Communication Collaboration Skills:A people-first style, strong multi-audience communications, and high emotional intelligenceAbility to communicate technical concepts to both technical and non-technical audiences.Highly committed and an excellent team player.Experience in working closely with multiple technical teams to review and document data solution architecture.Experience with collaborating with stakeholders to understand data needs and translating business requirements into actionable solution designYour education, training, and experience should includeEight or more years of architecture, data, and/or IT experienceTwo or more years knowledge data modeling and/or engineeringTwo or more years of data cataloging and/or classificationTwo or more years of data engineering and/or data transformation As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools.Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities.You will also have access to backup care and DACA reimbursement.Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go tostarbucksbenefits.com.*If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above.For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.If you live in the greater Seattle area, we offer a flexible workplace that allows for hybrid work. Partners can work remotely one day per week, onsite Mon-Thur.Join us and inspire with every cup. Apply today!Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at or 1.

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 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.Come work at Amazon!As a Sr. DSP Modem Embedded Software Design Engineer, you will participate in all phases of DSP physical layer software development from requirements through implementation and test to operations. Our team tackles all of the layer 1 tasks on the satellite system. Key Responsibilities · Develop embedded software in assembly, C, C++, or other languages in a real-time operating system environment · Write software to augment and interact with hardware blocks such as FFT, correlator, codec, etc · Write device drivers and system applications for flight operations · Work closely with hardware teams to support board bring-up and integration testingExport 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.BASIC QUALIFICATIONS· MS degree in DSP, signal processing or related field OR Bachelor’s Degree with 5 + Years of DSP Modem experience · 7 + years of non-internship professional software development experience PREFERRED QUALIFICATIONS· Hands-on experience with DSP modem development and test · PhD in DSP, signal processing, communications systems or similar 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 $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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

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.

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

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.

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

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 RoleThis role of a Software Engineer who will design, implement, and operate globally available distributed systems geared towards giving Kuiper the ability to operate within realistic virtual Kuiper environments at scale. You’ll build systems using the latest AWS technologies, leveraging best-in-industry software engineering practices.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- ARM A, M series or ARC processor emulator experience.- Knowledge of networking protocols and applications, including TCP/IP. should include L1-L2.- embedded software testing tool development- have worked on FreeRTOS or any real time operation system before.- Have expertise with Linux and RTOS- Invent new tools that enable more frequent and reliable software deployment, test execution, and data analysis as part of a continuous integration and release system.- Develop tools that allow for test execution across multiple environments: virtualized hardware, real hardware-in-the-loop simulations, and on-orbit testing.- Design and Implement Distributed Cloud-based Services and APIs- Partner with device software, frontend, networking, and security engineering teams- Evangelize engineering excellence best practices and mentor junior engineers.- Design and Implement embedded modeling and simulation for broadband access technologies: LTE, WiMax, WiFi or similar- Solid aptitude in protocol standards such as IPv4, IPv6, Mobile IP, LTE, 802.16e, 802.11b/g/n/ac.- Knowledge of object-oriented programming concepts.- Strong theoretical background in Wireless Networks.- Experience with systems integration and testing methodologies.- Knowledge in several of the following: network protocols and applications including TCP/IP, QoS algorithms, cellular/satellite network protocols, software defined networks, network security.- Write high-quality Linux based software for common processors and microcontrollers (e.g. ARM, PowerPC, x86, etc.)- Deep understanding of testing, continuous integration, build, deployment & continuous monitoring.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.A day in the lifeThis role is for a Software Development Engineer who will build new cloud services and APIs that facilitates and orchestrates simulation of software on Kuiper devices such as satellites, ground gateways, and customer terminals. You will be building low-latency, highly scalable architecture that are critical to getting high quality internet service to customers.About the teamWe build the cloud systems and APIs for software running on Kuiper devices to run simulation to achieve high quality software ultimately deployed onto hardware. 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.

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.

Come lead the User Experience Design team that shapes the future of how Amazon’s internal software engineers plan, develop, release, and operate their products! As a member of the Amazon Software Builder Experience organization, you’ll be a part of a cross-functional team of product managers, program managers, user researchers, data scientists, and development teams to deeply understand the needs of our customers, collaborate with other teams to design delightful solutions, and measure our success through successful delivery and impact on customers. Key job responsibilities- Hire and develop a team of UX designers while cultivating a culture of inclusion and empathy- Collaborate with leaders across multiple disciplines (product, program, research, engineering, etc.) to define a strategic direction for the business- Continually improve the customer experience with every release- Create and implement mechanisms for the design team to deliver multiple, high-impact projects in parallelA day in the lifeAs the UX Design manager, your day-to-day activities will vary. One day may be spent collaborating with our UX research team on identifying customer opportunities. Another day with product leaders to create a strategic direction for the business. Another might be spent supporting the ideation workshops led by members of your team to solve our customer's biggest pain points. As the leader of the team, you'll decide!10025About the teamThe Amazon Software Builder Experience (ASBX) team is a single organization that owns the experience across the entire software development lifecycle (SDLC), including planning, developing, releasing, and operating software applications. Our customers are the software engineers at Amazon who are innovating on behalf of their own customers. BASIC QUALIFICATIONS- 6+ years of design experience- 3+ years experience leading design teams- Experience managing teams- Experience working with software development engineers or equivalent technical audience as customers- An online portfolio or samples demonstrating previous workPREFERRED QUALIFICATIONS- Experience with software development engineers as customers- Experience working cross-team and synthesizing feedback and input from product management, engineering, and testing- Bachelor's degree in Design, HCI, or equivalent experienceAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,400/year in our lowest geographic market up to $225,500/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.

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.

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

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 individual households 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.Join our Kuiper MAC Software team to revolutionize global connectivity through satellite communications. As a key innovator, you'll develop mission-critical embedded firmware that powers our ground terminal networks and satellite systems, directly impacting millions of users worldwide.We're looking for a talented software engineer to architect and optimize Media Access Control (MAC) layer solutions for our next-generation satellite communication platform. You'll work at the intersection of space technology and wireless communications, leveraging your expertise in:- Bare-metal embedded systems- Embedded Linux development- Modern systems programming (Rust/C)This role offers a unique opportunity to shape the future of satellite communications while working with a diverse team of industry experts. Your code won't just run on Earth - it will operate in space, helping bridge the digital divide and connect the unconnected.The Role- Design and implement MAC layer protocols for wireless communication systems- Develop efficient real-time software for resource-constrained embedded platforms- Optimize protocol performance for latency-sensitive applications- Interface with PHY layer implementations and higher network stack components - Collaborate with hardware teams for efficient hardware/software integration - Develop automated testing frameworks for protocol validationA day in the lifeCome work at Amazon! We need people who want to join an ambitious program that continues to push the state of the art in space-based systems design. Come help us solve the difficult and rewarding development challenges in building highly reliable, power efficient and low-cost satellite avionics!About the teamOur team tackles many critical satellite functions including power management, hardware interfaces, command & telemetry, and autonomous control. We are looking for an outstanding software engineer to participate in all phases of software development from requirements through implementation and test to operations.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.

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.

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.

Over the past 20 years, Amazon has reinvented on behalf of the consumer and has become one of the largest internet retailers in the world. Amazon is now reinventing on behalf of the business customer and is building the most innovative Business-to-Business (B2B) online store in the world.At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations reimagine buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes, unlocking our potential worldwide.The Analytics Data Product & Tech (ADAPTech) team is a strategic partner to the WW Sales organization, playing a key role in driving sales productivity through three primary workstreams. First, the Analytics team provides data-driven insights and reporting tools to measure business, customer, and employee performance. Second, the Products and Science team develops transformative tools that help Account Executives (AEs) to prioritize accounts, recommend product features, and engage more effectively with customers. Finally, the Data Management and Governance teams ensure AEs have access to accurate and enriched customer information across our tools. We're seeking an Applied Scientist to join our team to improve the productivity and efficiency of AEs. You'll be part of expanding GenAI capabilities and scaling its impact across global markets.A successful Applied Scientist at Amazon demonstrates bias for action and operates in a startup environment, with leadership skills, and proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded. We need great leaders to think big and design new solutions to solve complex problems using machine learning (ML) and Generative AI techniques to improve our customers’ experience when using AB. You have hands-on experience making the right decisions about technology, models and methodology choices.Key job responsibilitiesAs an Applied Scientist, you will primarily leverage machine learning techniques and generative AI to outreach customers based on their life cycle stage, behavioral patterns, and purchase history. You may also perform text mining and insight analysis of real-time customer conversations and make the model learn and recommend the solutions. Your work will directly impact the trust customers place in Amazon Business.You will partner with product management and technical leadership to identify opportunities to innovate customer journey experiences. You will identify new areas of investment and work to align product roadmaps to deliver on these opportunities. As a science leader, you will not only develop unique scientific solutions, but also play a crucial role in shaping strategies.Additional responsibilities include:-Design, implement, test, deploy and maintain innovative data and machine learning solutions to further the customer experience.-Create experiments and prototype implementations of new learning algorithms and prediction techniques-Develop algorithms for new capabilities and trace decisions in the data and assess how proposed changes could potentially impact business metrics to cater needs of Amazon Business Sales-Build models that measure incremental value, predict growth, define and conduct experiments to optimize engagement of AB customers, and communicate insights and recommendations to product, sales, and finance partners.A day in the lifeIn this role, you will be a technical expert with significant scope and impact. You will work with Technical Product Managers, Data Engineers, other Scientists, and Salesforce developers, to build new and enhance existing ML models to optimize customer experience. You will prototype and test new ideas, iterate quickly, and deploy models to production. Also, you will conduct in-depth data analysis and feature engineering to build robust ML models.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience with SQL, Python and Data Warehouse- Experience in building text/speech recognition, machine translation and natural language processing systems (e.g., emails, phone conversations)PREFERRED QUALIFICATIONS- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning- Experience working on personalisation, customer journey analysis and realtime chatbot interactions.- Experience building applications leveraging GenAIAmazon 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 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.

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.

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 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 LLama3, Mixtral, DBRX and beyond, as well as stable diffusion, Vision Transformers and many more. The Distributed CoreTech training 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 support into Pytorch and 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 UsInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of 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.

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.

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 an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.As a Senior System Development Engineer, you will architect the HW/SW infrastructure for test automation for Satellite Payload Antennas and Customer Terminals. These products are complex systems that incorporate a Linux Embedded OS, with which you will interface. You will be responsible for conducting thorough code reviews of both your own and others' merge requests while developing a comprehensive test framework. This framework will enable the creation, tracking, updating, and execution of repeatable, discoverable tests, while collecting critical measurements and streamlining test verification processes.Your role will also involve designing Radio Frequency (RF) and Over The Air (OTA) test systems for antenna products, focusing on expanding test coverage, integrating complex testing scenarios, and improving test accuracies. Working hand in hand with Responsible Engineers (RE) who oversee antenna products and collaborating with our multidisciplinary antenna testing team, you will capture these efforts in detailed test procedures.A key aspect of your position will be serving as a liaison between Software Teams, external resources (including test equipment vendors), and REs. In this capacity, you will establish and implement Aerospace validation and verification processes, incorporating automated testing into various procedures including Design Verification (DVT), Acceptance Testing (ATP), Qualification Testing (QTP), and Payload integration testing.Key job responsibilities- Design new antenna test systems using RF equipment (VSA, VSG, GNSS simulators, digitizers, switches), RF up/down-converters, FPGA-based Digitizers, and controllers of motorized and electrically switched axes.- Inspect the control hardware currently installed, and use that information to architect and design an acquisition system with TTL and TCP/IP controls- Determine automation requirements across the internal and external teams- Develop test frameworks for loading software builds and configuration, managing test cases, storing test configurations, executing test runs, logging metrics, and pipe the data.- Develop automation services to optimize measurements, data management and analysis for antenna and customer terminal verification- Train internal and external teams on test automationAbout 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. And it's highly multidisciplinary: SysDE, SDE, ME, Metrology, Antenna, FPGA and Lab Ops all converge in the same room.BASIC QUALIFICATIONS- Bachelor's degree- 5+ years of non-internship professional software development experience- 3+ years of deploying and operating in a Linux/Unix environment experience- 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- Strong sense of ownership and drive- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- Experience with version control systems and code repositories- Experience in development of hardware automation and test systems- Experience with Hardware/Software system bring up and debuggingPREFERRED QUALIFICATIONS- Experience in mentoring, leading, or managing more junior engineers- Experience writing technical documents, project plans and progress reports to leadership and to stakeholders- Experience with RF testing and equipment, like Spectrum Analyzers, VSA, VSG, GNSS simulators- Experience in Signal Processing- Experience building services using AWS products- Excellent mathematical and problem-solving skills- Highly accurate and detail-orientedAmazon 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 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.

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.