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About Us One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years. In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive. This job posting is for current Residents / Fellows completing their training in 2025 or 2026 who are interested in any of our offices based in the San Francisco / Bay Area. About Us One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years. In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive. Why start your primary care career at One Medical: When you join One Medical after completing your residency, you’ll join a community of clinicians who will help you thrive in your career and use technology that was custom-built with physicians in mind. From orientation and onboarding to continuing education and leadership development, One Medical is with you every step of the way. Employment type: • Managing a patient panel with a broad array of patient needs; conducting a mix of acute, chronic, and well visits, • Treating patients in-office or in testing centers as well as conducting occasional tele-health visits, • Continuous learning during weekly Clinical Rounds and through other modalities, • Ongoing collaboration with in-office teammates via daily huddles, as well as with virtual clinical teams, • Utilization of your specific clinical training and opportunities to perform in-office procedures, • Currently enrolled in, or completed within the last year, an accredited Family Medicine or Internal Medicine/Pediatrics residency program, • Must presently be a Board Eligible Family Medicine or Internal Medicine/Pediatrics Resident, or have completed a Family Medicine or Internal Medicine/Pediatrics Residency Program within the last calendar year and scheduled to take the next available Board Exam, • A passion for human-centered primary care, • The ability to successfully communicate with and provide care to individuals of all backgrounds, • The ability to effectively use technology to deliver high quality care, • Clinical proficiency in evidence-based primary care, • The desire to be an integral part of a team dedicated to changing healthcare delivery, • An openness to feedback and reflection to gain productive insight into strengths and weaknesses, • The ability to confidently navigate uncertain situations with both patients and colleagues One Medical is committed to fair and equitable compensation practices. The base salary for this role is $288,000 per year based on a full-time schedule. Final determination of starting pay may vary based on factors such as practice experience and patient care schedule. Additional pay may be determined for those candidates that exceed these specified qualifications and requirements. The total compensation package for this position may also include annual performance bonus, benefits and/or other applicable incentive compensation plans. For more information on how One Medical supports new physicians joining from residency / fellowship, ___ The base salary for this role is $288,000 per year based on a full-time schedule. Final determination of starting pay may vary based on factors such as practice experience and patient care schedule. Additional pay may be determined for those candidates that exceed these specified qualifications and requirements. The total compensation package for this position may also include annual performance bonus, benefits and/or other applicable incentive compensation plans. For more information on how One Medical supports new physicians joining from residency / fellowship, One Medical is an equal opportunity employer, and we encourage qualified applicants of every background, ability, and life experience to contact us about appropriate employment opportunities. One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the E-Verification Poster () and Right to Work Poster () for additional information. Relocation assistance may be available for this role. One Medical offers a robust benefits package designed to aid your health and wellness. All regular team members working 24+ hours per week and their dependents are eligible for benefits starting on the team member's date of hire: Taking care of you today • Paid sabbatical for every five years of service, • Free One Medical memberships for yourself, your friends and family, • Employee Assistance Program - Free confidential services for team members who need help with stress, anxiety, financial planning, and legal issues, • Competitive Medical, Dental and Vision plans, • Pre-Tax commuter benefits, • 401K match, • Credit towards emergency childcare, • Company paid maternity and paternity leave, • Paid Life Insurance - One Medical pays 100% of the cost of Basic Life Insurance, • Malpractice Insurance - Malpractice fees to insure your practice at One Medical is covered 100%., • UpToDate Subscription - An evidence-based clinical research tool, • Continuing Medical Education (CME) - Receive an annual stipend for continuing medical education, • Rounds - Providers end patient care one hour early each week to participate in this shared learning experience One Medical participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Please refer to the ___ and ___ for additional information.

Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced amazing devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create? The Business Manager is the relationship owner for the Amazon Electronics Manufacturing Services (EMS) Device Manufacturing Services suppliers that provide co-development resources, procure components, design, manufacture and test digital devices in the Emerging Products space. In this capacity the Business Manager has the responsibility to: • Lead the sourcing, selection, contract negotiation and management of one or more EMS suppliers in alignment with the overarching EMS strategy and within the Integrated Management System. Ensure a competitive sourcing environment leading to continuous improvement in Engr. Services, Line Readiness, Quality, Business Management, Contract management and adherence, delivery, cost and social responsibility., • Actively engage the Device Operations and Engineering organizations with the EMS suppliers on one or more products/product lines to achieve the programmatic objectives., • Lead the commercial and contractual aspects of the relationship and drive multifunctional teams relative to EMS Suppliers involvement., • Leading the EMS supplier Performance Management and leading cross-functional business reviews. This requires that the Business Manager be both an advocate for the supplier within Lab126 and be their harshest critic to ensure the best possible performance. Upon success, the Business Manager will instill a forward-thinking collaborative and mutually-beneficial long-term relationship with a holistic point of view, not just a product or single supplier perspective – a business owner. These high profile responsibilities require significant breadth and business acumen as the responsibilities are very diverse and impactful: Technical - Solid understanding of the EMS supplier landscape and capabilities in addition to Digital Device technologies and manufacturing / testing methodologies. Drive EMS Supplier relationships to ensure Amazon content is integrated in a way that supports our brand. Negotiation Skills – Lead all commercial discussions related to EMS relationships. Able to negotiate best in class contract pricing, terms and conditions on large contracts with suppliers who are exceptionally skilled at protecting thin margins. Exercise good judgement in knowing when and how best to address issues or drive change. Contract Management – Ensure that the suppliers execute and adhere to the contracts and renegotiate whenever possible to realize benefits from bundling work with Strategic Suppliers. This is not limited to dollars but being able to protect Amazon’s bottom line in all aspects – IP, indemnity, confidentiality, etc. as these are all crucial to how Amazon is able to have successful launches (products that “wow” the customer). In the case of an EMS relationship ensure that the contracts protect Amazon’s brand and meet customer requirements. Financial – Responsible for managing the business relationship including contracts, pricing, terms and conditions and claims. Must be an effective negotiator. The value of these supplier engagements can reach the billion-dollar level. Relationship Builder – Have the ability to engage, influence and arbitrate both the supplier and the Lab126 stakeholder organizations at the operational and Sr. Executive levels. Build excellent business cases and have executive presence. About the team Devices Business Management (DBM) is responsible for the business relationship with the EMS Suppliers. The DBM team is structured by Business Managers, CapEx Business Managers, Advanced Sourcing, Strategy leads and Implementation lead based in in different geographies. The team collaborates cross functionally with Product Operations, Engineering, Quality, legal and Finance throughout product life cycle to innovate, design for cost and quality ensuring timely delivery • 6+ years of developing, negotiating and executing business agreements experience, • 6+ years of professional or military experience, • Bachelor's degree, • Knowledge of publisher ad tech stacks and/or advertising technology, • Experience developing strategies that influence leadership decisions at the organizational level, • Experience managing programs across cross functional teams, building processes and coordinating release schedules, • Experience selling enterprise software or cloud-based applications, • Experience explaining complex technical concepts to various business and technical audiences, • Experience presenting to both technical and non-technical executive audiences, • Experience interpreting data and making business recommendations, • Experience identifying, negotiating, and executing complex legal agreements 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 ___ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $133,200/year in our lowest geographic market up to $220,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

At eero, our mission is to serve as the central nervous system of the home. While we began by revolutionizing home WiFi, we aim to create comprehensive solutions that serve both wireless and wired connectivity needs for customers and businesses across the globe. The Sr. HW Regulatory Compliance engineer ensures that our products meet all relevant regulations. This role requires deep technical knowledge of international regulatory standards for RF, EMC, BLE, Zigbee, Antenna Systems, Radar, and other advanced wireless communications technologies to guide design decision, validation testing, and certifications activities. The right candidate will be an exemplary practitioner, will set the technical bar for the team and will ensure our products conform with North American and worldwide regulatory standards and compliance requirements. Your expertise in wireless radio technology, EMC best practices and global regulatory standards will be critical as you engage with an experienced cross-functional development team to drive design for compliance and conceive innovative wireless products for customers. You will develop and execute strategies that address evolving global wireless spectrum standards and requirements. Your role will include solving ambitious and complex compliance challenges through research, engagement with regulatory agencies, hands-on testing, debugging, and validation activities. You must be highly analytical, able to work effectively across multiple teams and have a strong ability to navigate the global regulatory compliance schemes to enable market access of consumer electronic products. As a technical lead, you will establish standardized approaches and best practices while mentoring and supporting junior engineers. Additionally you must excel at communicating complex regulatory matters to engineering teams, driving compliant designs from early development phases, and make sound technical decisions that balance innovation with compliance requirements. Key job responsibilities • Ensure products to meet all applicable global regulatory standards across wireless, RF, EMC, and related technologies., • Review product designs for compliance readiness, perform risk assessments, and guide engineering team to integrate requirements early in the product development, • Collaborate with cross-functional teams and with compliance counterparts in other business units to align certification strategies and execution, • Work closely with design teams to integrate compliance requirements into system and hardware architecture, • Coordinate with external laboratories, certification agencies, and regulatory authorities to manage testing, documentation, and product approvals, • Lead debugging, root cause analysis, and corrective action to address compliance risks or test failures, • Develop and maintain testing protocols, pre-certification validation processes, and compliance documentation to support efficient certification cycles, • Stay current with evolving international standards and regulations, providing insights and assessing their impact on product design and certification strategy., • Contribute to continuous improvement of compliance workflows, tooling, and documentation systems. 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. • Bachelors or equivalent degree in RF/Microwave Design, EMC Design, Antenna Design, a related field, or equivalent practical experience., • 7+ years of experience in regulatory compliance around wireless, EMC, testing and certification, • 5+ years of experience in one or more wireless technologies (WLAN/BT/Zigbee/Cellular) with hands on compliance testing, data interpretation and debug experience, • Experience in submissions for official certification through relevant compliance bodies such as FCC, ISED, UK, and CE, • Knowledge of global spectrum regulations, requirements and certification processes, • Experience working with Asia-based manufacturing partners and test labs, • Experience in documenting regulatory requirements extracted from compliance standards, • Hands-on experience in compliance test setup in semi-anechoic chambers and demonstrated experience with test equipments like signal generator, spectrum analyzer, network analyzer, call box., • Demonstrated ability to debug compliance failures at component or system level, • Excellent communication and cross-functional collaboration skills, • Excellent organizational skills with experience managing compliance programs, schedules, and cross-functional deliverables., • Advanced degree (Master or PhD) in RF engineering, EMC Design, Antenna Engineering, or a related field, • Experience in chipset design, RF architectural design, • Experience developing technical implementation strategies for emerging wireless technologies 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. 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 ___ 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 ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing its next generation SOC’s for the machine learning enabled consumer products. We are looking for exceptional engineers to join the SOC development team and help develop the next generation of chips based on a revolutionary architecture. Work hard. Have Fun. Make History. Key job responsibilities What will you do? • Analyze deep learning workloads and map them to Amazon’s Neural Edge Engine, • Propose and implement new hardware architectures or improvements to our existing ones, that enable future ML workloads to run efficiently on our accelerator, • Collaborate closely with compiler engineers, model developers, hardware architects and product teams to build the best ML centric hardware and software solutions for our devices, • Deliver hardware architecture, microarchitecture and other design collateral for our next generation ML accelerators, • Build tools for modeling and performance evaluation to enable power, performance, cost options and trade offs, • Work with full stack silicon designers to realize the architecture on silicon., • 3+ years of building machine learning models for business application experience, • PhD, or Master's degree and 6+ years of applied research experience, • Experience programming in Java, C++, Python or related language, • Experience with neural deep learning methods and machine learning, • Experience 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 ___ 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 ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Are you fueled by a passion for computer vision, machine learning and AI, and are eager to leverage your skills to enrich the lives of millions across the globe? Join us at Ring AI team, where we're not just offering a job, but an opportunity to revolutionize safety and convenience in our neighborhoods through innovation. You will be part of a dynamic team dedicated to pushing the boundaries of computer vision, machine learning and AI to deliver an unparalleled user experience for our neighbors. This position presents an exceptional opportunity for you to pioneer and innovate in AI, making a profound impact on millions of customers worldwide. You will partner with world-class AI scientists, engineers, product managers and other experts to develop industry-leading AI algorithms and systems for a diverse array of Ring and Blink products, enhancing the lives of millions of customers globally. Join us in shaping the future of AI innovation at Ring and Blink, where exciting challenges await! Key job responsibilities • Research and implement the state-of-the-art computer vision and machine learning methods to deliver high-quality artifacts that meets product specifications., • Work in a collaborative environment with other scientists, engineers, product managers and cross-functional teams., • Mentor and develop junior scientists on the team • 3+ years of building models for business application experience, • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience, • Experience in patents or publications at top-tier peer-reviewed conferences or journals, • Experience programming in Java, C++, Python or related language, • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, • Experience using Unix/Linux, • Experience in professional software development 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 ___ 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 ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

At eero, our mission is to serve as the central nervous system of the home. While we began by revolutionizing home WiFi, we aim to create comprehensive solutions that serve both wireless and wired connectivity needs for customers and businesses across the globe.Our cross-functional team, spanning hardware, software, and manufacturing, develops advanced Ethernet switching and gateway products, alongside state of the art security features, to complement our award-winning mesh WiFi systems. As an Amazon company, we combine the best of startup culture with the resources and stability of one of the world's leading technology companies. Our team builds products that customers love - from mesh routers to high-performance wired networking devices - and we're looking for you to join us in shaping the future of the connected home. Key job responsibilities • As a software development engineer on eero's B2B team, you will use your experience to define and implement the roadmap and architecture for eero's wired products., • You will guide and mentor team members., • You will be setting a standard for the rest of the team in your ability to deliver quality code yourself, and in reviewing and improving others' work., • You will have hands-on involvement in the entire software lifecycle., • You will excel at working with others, within and outside of engineering, and be able to influence the overall product developing in the right direction. About the team eero provides the world's best networking solutions, focusing on ease-of-use, security, and customer delight. We move fast and work hard to guarantee our customers the best experience. We are a growing and dynamic team, with opportunities for learning and growth. Interested in exploring career opportunities with eero? Visit our careers page to view all open positions: • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • 8+ years of non-internship professional software development experience, • 8+ years of programming with at least one software programming language experience, • Experience as a mentor, tech lead or leading an engineering team, • Experience in software development for networking products, • Expereince in designing and architeting networking solutions, • Deep understanding of L2 and L3 networking, • Expertise in embedded networking on switches, routers and firewalls, • Ability to drive complex designs spanning the embedded networking infrastructure, the remote network management entity, from ideation, architecture, execution and all the way to production deployment, • Good familiarity with Wifi systems, • Experience in scaling networks to support large node sizes, • Experience with switching datapath and interactions with switching fabrics, • Understanding networking system design, including trade-offs between infrastructure cost, memory, compute and network size 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 ___ 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 ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading technology in generative AI and foundational models. As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in generative AI. Your work will directly impact millions of our customers in the form of products and services that make use of speech, vision and language technology. You will gain hands on experience with Amazon’s heterogeneous speech, text, image and structured data sources, and large-scale computing resources to accelerate advances in machine learning and foundation models. More specifically, you will have the opportunity to impact millions of our customers by researching and building innovative solutions using Agentic AI. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge generative AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you. A day in the life A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon) conferences, inspire us to never stop embracing our uniqueness. 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 Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. • PhD, or Master's degree and 6+ years of applied research experience, • Experience programming in Java, C++, Python or related language, • Experience with neural deep learning methods and machine learning, • Experience 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 ___ 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 ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

As a Senior Product Manager at RBKS (Ring, Blink, Key, Sidewalk) AI, you will work with a focused team of product managers, engineers, and scientists building and releasing new AI products and features with state of the art models. You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of high visibility products that will be used every day. We are looking for entrepreneurial, innovative individuals who thrive on solving challenging problems. Maturity, high judgment, negotiation skills, ability to influence, analytical talent, and leadership are essential to success in this role. You will anticipate bottlenecks, provide escalation management, anticipate and make tradeoffs, and balance customer and business needs versus technical constraints. An ability to take large, complex projects and break them down into manageable pieces, develop functional specifications, then deliver them in a successful and timely manner is expected. Key job responsibilities • Lead the definition, design, development and launch of AI features that delight customers, • Lead the development of the product strategy and vision supported by internal and external analysis, • Create buy-in for the product vision both internally and with key external partners, • Define creative, high quality, simple product roadmaps based on product strategy and vision, • Work closely and collaboratively with design and product teams from partner organizations, • Develop detailed, crisp business requirements and user stories that can be used to create product specifications and architecture for each product and application, • Manage backlog prioritization and trade-offs among customer feedback, performance, and operational support load, • Work closely with software engineering teams to deliver features to market, • Launch products to market by working with Marketing, public relations team, Sales, Finance and Operation teams, • Proactively identify and resolve strategic issues that may impair the team’s ability to meet strategic, financial, and technical goals, • 5+ years of end to end product delivery experience, • Bachelor's degree, • Experience owning/driving roadmap strategy and definition, • Experience with feature delivery and tradeoffs of a product, • Experience contributing to engineering discussions around technology decisions and strategy related to a product, • Experience managing technical products or online services, • Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning, • MBA, • Experience in using analytical tools, such as Tableau, Qlikview, QuickSight, • Experience in building and driving adoption of new tools, • Experience working with Applied Science teams 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 ___ 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 ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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 ago—even 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. We are seeking an experienced Senior Substrate CAD layout Engineer for the next generation of our ML ASIC. This is a fast-paced, intellectually challenging position, and you’ll work with thought-leaders in multiple technology areas. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your products performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. As a Substrate/PCB layout engineer, you will participate in the definition and implementation of substrate and PCB boards. This individual will contribute in all phases of the product’s design, including placement, routing, constraint table management, and drafting. You must bring a combination of Substrate/PCB design, assembly, test and fabrication knowledge, cross team functional interdependence, and demonstrable design process experience to the position. In this role you will: • Work with the Electrical Engineering hardware team to provide PCB board design services, • Work with fabrication vendors to supply data and seek fabrication design requirements, • Work with assembly vendors to supply data and seek assembly design requirements, • Deliver best in class Substrate/PCB design to high-volume manufacturing, • Assist as necessary in schematic and PCB footprint development, • Work with the company PLM system to write and release ECO’s About the team About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS 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 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 Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship & 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. • B.S. in Electrical Engineering or related field, • 7+ years of experience of PCB layout design, • 7+ years of current experience using Cadence Allegro PCB Design/CIS, • 7+ years of current experience using Cadence SIP and APD, • 7+ years of experience with high speed and impedance circuits, • 7+ years of experience with compact, dual side assembly design, • Experience with HDI design, • Experience with BGA pitch of equal or less than 0.5mm, • M.S. in Electrical Engineering or related field, • 15+ years’ experience of PCB layout design, • 10+ years of current experience using Cadence APD, SIP and Allegro PCB Design/CIS, • Proven track record to design & manage all aspects of the printed board design, • Ability to collaborate and communicate with all cross functional teams and external customers., • Ability to reduce risk of fabrication/assembly/test with a thorough knowledge in each area and taking preventative action early in the design phase to make this a reality, • Ability to debug schematic net-list-in errors, • Ability to develop Allegro scripts or writing in Cadence Skill 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 ___ 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 ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

We're seeking a Software Development Manager to lead our Frameworks team within AWS Neuron, the software stack powering AWS Inferentia and Trainium machine learning accelerators. This role combines technical leadership, team management, and strategic open-source collaboration to shape the future of machine learning acceleration at AWS. As the Software Development Manager, you will lead and mentor a high-performing team of software engineers while driving the development and maintenance of critical Neuron framework components. You'll drive cross-functional collaboration with compiler, runtime, and kernel development teams to ensure seamless integration of Neuron with major machine learning frameworks. You will also contribute technically by reviewing designs and implementing features. A crucial aspect of your role will be building and nurturing strategic relationships with open-source communities, particularly with JAX, OpenXLA, and PyTorch/XLA. You'll work closely with these communities to align framework development roadmaps with Neuron's strategic objectives, ensuring our customers have access to the latest ML framework innovations. In this role, you'll be instrumental in shaping how developers interact with AWS's machine learning accelerators, ensuring our customers can easily adopt and benefit from the latest advancements in ML frameworks. The position offers an opportunity to work at the intersection of cloud computing, machine learning, and open-source software, while leading a team that directly influences the future of ML acceleration at AWS. The ideal candidate will bring proven experience managing software development teams and a strong background in machine learning frameworks and acceleration software. You should have a demonstrable track record of successful open-source collaboration and contributions, along with experience working with ML frameworks such as PyTorch or JAX. Excellence in cross-functional team leadership and communication is essential. Key job responsibilities • Responsible for the overall systems development life cycle, • Management and execution against project plans and delivery commitments, • Manage the day-to-day activities of the engineering team, • Management of resources, staffing, mentoring, and maintaining a best-of-class engineering team, • Report on status of development, quality, operations, and system performance to management • 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, • 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 teams, • 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 engineers 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 ___ 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 ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Come work on Amazon Web Services (AWS) EC2 Networking and Outpost hardware team. We are a start-up like team within a big enterprise. This allows us to take risk and experiment, allow team members to flex their technical muscles and grow in their respective careers, and an unique opportunity to be part of the product's growth story. Are you interested in building high performant hardware used to run the largest cloud computing infrastructures in the world, and managing systems at scale? If yes, come join us. Key job responsibilities You will be part of a team that solves systemic issues, drives changes back into development and builds mechanisms to scale and efficiently operate our infrastructure at the Edge and Data Center. As a member of the AWS Hardware team, you will work with other subject matter experts in compute, memory, storage technologies to develop and deliver the best customer experience in cloud computing. We aim to hire engineers who will thrive in a fast-paced, collaborative and open environment, who aren't afraid to dive-deep to solve seemingly impossible challenges, who want to build rock solid never-fail, highly-secure hardware at world-class scale and who obsess over customers. A day in the life Your day to day responsibilities will include interfacing with our internal and external customers to understand project requirements and facilitate system development on top of your server design. You will be responsible for solving operational challenges to our existing fleet with the goal of improving the current customer experience as well as developing improved systems for future designs. You will work directly with vendors and ODM/JDM design teams to develop and manufacture your product at scale. About the team The team is comprised of both Hardware Design Engineers, System Design Engineers, Software Development Engineers and Technical Program Managers, all with the common goal of delivering the best specialized server fleet possible to our customers. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. • BS degree in EE, CE, or CS, • 5+ years of experience with complex server, storage or network server designs, • 5+ years of experience developing functional specifications, design verification plans, functional test procedures and operational repair plans, • 5+ years of experience with debug and root cause analysis of PCIe, memory, storage subsystems or networking, • 3+ years of advanced support experience managing customer escalations to quickly identify root cause and resolve issues in a large scale production environment (data center or similar)., • Working with interdisciplinary teams to execute product design from concept to production, • MS degree in EE, CE or CS, • Technical background in server design or architecture, specifically having led the development of multiple complete servers, • Experience with server technologies: BIOS, BMC, signal integrity, memory, storage, PCIe, thermal, • Experience with deploying and operating hardware and applications at scale, • Developed monitoring and alerting systems to quickly identify and categorize failures in production environments, • Proven results oriented person with a bias for action. 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 ___ 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 $257,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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. 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 ago—even 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. We are seeking a Hardware Design Engineer with role in the definition, design and validation of AWS next generation ML Chips, Cards and server integration. As a senior member of our hardware team, you will have the outstanding and meaningful opportunity to participate in the design and execution of all PCIe and Serdes topics, with the goal of creating and customized platforms that fit within AWS datacenter’s world leading technology. As a member of the Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers. You’ll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you’ll work with thought leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your products performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. About the team Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. • Deep knowledge with PCIe interface Gen4 or above, both Electrical and Functional at the chip level and at the PCB level., • Deep understanding of Transmission line theory and Electromagnetics and its application in SerDes, Single-ended signal and parallel bus interfaces. * Work with ODMs, IP Silicon vendors, component suppliers and internal design teams on cross-boundary triaging, debugging, and resolving issues., • Hands-on lab equipment skills (VNA, Realtime scope, Sampling scope and its accessories) for electrical validation and characterization., • Scripting skills to automate tests, logs parsing and data collection., • Strong technical communication skills (verbal and written) to interface with cross-functional technical leads within and/or outside of the organization., • Experience with Server HW designs, Design validation, Production tests and signal integrity of high speed interfaces., • Knowledge of the product development cycle from concept to mass production., • Strong analytical capabilities, • The ability to work independently and drive tasks from start to completion, • Ability to work cross functionally with SW team to define and implement diagnostics for hardware validation at component, interface, and system level, • Experience with server (x86 / ARM) design or architecture 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 ___ 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 ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon’s custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for AWS's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed architectures. You will architect and implement business-critical features, publish cutting-edge research, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. Explore the product and our history! Key job responsibilities Our kernel engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: • Design and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models, • Analyze and optimize kernel-level performance across multiple generations of Neuron hardware, • Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks, • Implement compiler optimizations such as fusion, sharding, tiling, and scheduling, • Work directly with customers to enable and optimize their ML models on AWS accelerators, • Collaborate across teams to develop innovative kernel optimization techniques About the team #1. Diverse Experiences AWS 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. #2. 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. #3. 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 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. #4. 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. #5. 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. 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. • 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 team, • Bachelor's degree in computer science or equivalent, • 6+ years of full software development experience, • Expertise in accelerator architectures for ML or HPC such as GPUs, CPUs, FPGAs, or custom architectures, • Experience with GPU kernel optimization and GPGPU computing such as CUDA, NKI, Triton, OpenCL, SYCL, or ROCm, • Demonstrated experience with NVIDIA PTX and/or AMD GPU ISA, • Experience developing high performance libraries for HPC applications, • Proficiency in low-level performance optimization for GPUs, • Experience with LLVM/MLIR backend development for GPUs, • Knowledge of ML frameworks (PyTorch, TensorFlow) and their GPU backends, • Experience with parallel programming and optimization techniques, • Understanding of GPU memory hierarchies and optimization strategies 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 ___ 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 ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon Web Services (AWS) is assembling an elite team of world-class scientists and engineers to pioneer the next generation of AI-driven development tools. Join the Amazon Kiro LLM-Training team and help create groundbreaking generative AI technologies including Kiro IDE and Amazon Q Developer that are transforming the software development landscape. Key job responsibilities As a key member of our team, you'll be at the forefront of innovation, where cutting-edge research meets real-world application: • Push the boundaries of reinforcement learning and post-training methodologies for large language models specialized in code intelligence, • Invent and implement state-of-the-art machine learning solutions that operate at unprecedented Amazon scale, • Deploy revolutionary products that directly impact the daily workflows of millions of developers worldwide, • Break new ground in AI and machine learning, challenging what's possible in intelligent code assistance, • Publish and present your pioneering work at premier ML and NLP conferences (NeurIPS, ICML, ICLR , ACL, EMNLP), • Accelerate innovation by working directly with customers to rapidly transition research breakthroughs into production systems About the team The AWS Developer Agents and Experiences (DAE) team is reimagining the builder experience through generative AI and foundation models. We're leveraging the latest advances in AI to transform how engineers work from IDE environments to web-based tools and services, empowering developers to tackle projects of any scale with unprecedented efficiency. Broadly, 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. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. 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 Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 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 Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Hybrid Work We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices. • 3+ years of building models for business application experience, • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience, • Experience in patents or publications at top-tier peer-reviewed conferences or journals, • Experience programming in Java, C++, Python or related language, • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, • Experience using Unix/Linux, • Experience in professional software development 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 ___ 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 ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon Web Services (AWS) is assembling an elite team of world-class scientists and engineers to pioneer the next generation of AI-driven development tools. Join the Amazon Kiro LLM-Training team and help create groundbreaking generative AI technologies including Kiro IDE and Amazon Q Developer that are transforming the software development landscape. Key job responsibilities As a key member of our team, you'll be at the forefront of innovation, where cutting-edge research meets real-world application: • Push the boundaries of reinforcement learning and post-training methodologies for large language models specialized in code intelligence, • Invent and implement state-of-the-art machine learning solutions that operate at unprecedented Amazon scale, • Deploy revolutionary products that directly impact the daily workflows of millions of developers worldwide, • Break new ground in AI and machine learning, challenging what's possible in intelligent code assistance, • Publish and present your pioneering work at premier ML and NLP conferences (NeurIPS, ICML, ICLR , ACL, EMNLP), • Accelerate innovation by working directly with customers to rapidly transition research breakthroughs into production systems About the team The AWS Developer Agents and Experiences (DAE) team is reimagining the builder experience through generative AI and foundation models. We're leveraging the latest advances in AI to transform how engineers work from IDE environments to web-based tools and services, empowering developers to tackle projects of any scale with unprecedented efficiency. Broadly, 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. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. 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 Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 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 Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Hybrid Work We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices. • 3+ years of building machine learning models for business application experience, • PhD, or Master's degree and 6+ years of applied research experience, • Experience programming in Java, C++, Python or related language, • Experience with neural deep learning methods and machine learning, • First author publications at Tier-1 ML conferences. 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 ___ 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 ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. 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 ago—even 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. About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS 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. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & 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. Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. Key job responsibilities • integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing, • As a key member of the ASIC design team, you will implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications., • Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements., • Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints., • Perform lint and clock domain crossing quality checks on the design., • Work with with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish your tasks. You will thrive in this role if you: • Are familiar with scripting in Python, • Are proficient with assertions, • Have good debug skills to analyze RTL test failures, • Have a "Learn and Be Curious" mindset About the team Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. • Bachelor's degree in electrical engineering or equivalent, • 5+ years in RTL design for SOC, • 5+ years of VLSI engineering, • 5+ years with code quality tools including: Spyglass, LINT, or CDC, • Master's degree in electrical engineering, computer engineering, or equivalent, • Experience scripting for automation (e.g., Python, Perl, Ruby), • Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints, • Familiarity with data path design, interconnects, AXI protocol, • Good analytical, problem solving, and communication skills 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 ___ 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 ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. AWS Neuron and Inferentia are used at scale with customers like Snap, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: As a whole, the Amazon Annapurna Labs team is responsible for silicon development at AWS. The team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. The AWS Neuron team works to optimize the performance of complex neural net models on our custom-built AWS hardware. More specifically, the AWS Neuron team is developing a deep learning compiler stack that takes neural network descriptions created in frameworks such as TensorFlow, PyTorch, and MXNET, and converts them into code suitable for execution. As you might expect, the team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum leap in performance. You: As a Sr. Machine Learning Compiler Engineer III on the AWS Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and implementing business-critical features, publish cutting-edge research, and mentoring a brilliant team of experienced engineers excites and challenges you. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in Machine Learning and AI accelerators is preferred, but not required. In order to be considered for this role, candidates must be currently located or willing to relocate to Cupertino (perferred), Seattle, Austin, or Toronto. About the team 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 16 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. 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. • 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 team, • Bachelor's degree in computer science or equivalent 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 ___ 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 ___. 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. Amazon Web Services (AWS) Hardware Engineering team creates compute and storage server designs for Amazon’s web services. Our engineers work with leading edge technologies, solve challenging problems, influence the industry’s roadmaps, and develop new and unique solutions that are ahead of the pack. We work in an environment that fosters innovation and creativity. We encourage and invest in new directions and new ideas that will serve our customers better. We sometimes fail, but we learn from such failures and we improve. It is because of the team and our constant focus on the customers, that we are able to develop creative and new designs that set the standards on performance, quality, cost, and operational excellence. What you will do: As a member of the Server Hardware Engineering team you will own and lead the design and development of server products utilizing a wide range of design and manufacturing partners. You will work closely with our customers to understand their technical needs and business goals, leveraging your experience with server design and the knowledge of various teams to architect the solutions that we will deploy at scale. To deliver your products you will work with an interdisciplinary team of component, firmware, test, qualification, and integration engineers, and lead our design and manufacturing partners to bring these servers to the data center. After launch you will oversee the fleet of servers you develop, monitoring their quality and how they are meeting the customer requirements. This is a fast-paced, intellectually challenging position, and you’ll work with thought leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your products' performance, quality, and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Why you will love it: You will work directly with a talented team of engineers and product owners across the company to create next-generation hardware. You will have a direct impact on your customer's success, drive the development of the Cloud, and have a meaningful impact on Amazon's success. You will be part of a growing, fast paced, and fun team. About the team 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. Amazon Web Services (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. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. 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. • Experience in developing functional specifications, design verification plans and functional test procedures, • Experience in server technologies such as, thermal, mechanical, power, and signal integrity, • Bachelors degree in Electrical/Computer Engineering or equivalent, • 5+ years experience with design and manufacturing processes, • 5+ years experience leading ODMs and other suppliers in the product development and manufacturing processes, • In depth expertise in one or more server technologies such as Thermal / Mechanical design, high speed bus design and signal integrity, failure analysis, server components (e.g. CPU, GPU, SSDs, drives), BIOS, BMC, and networking, • Excellent written and oral communication skills, • Master's degree in electrical engineering, computer engineering, or equivalent, • Experience working with interdisciplinary teams to execute product design from concept to production, • Master’s degree in Electrical Engineering, Computer Engineering, or related field, • 10+ years years hardware development with a focus on system / server development in compute and/or storage server architecture and design for large scale applications, • Expertise in early product definition and feature tradeoff analysis, • Experience with server validation and issue root causing, • Experience with deploying and operating hardware and applications across large data centers, • Proficient scripting, debug abilities, and Linux operations commands, • Experience with leading hardware and software development engineering teams 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 ___ 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 $257,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Hardware Design Engineers to work with partners and vendor and build the next generation of our cloud server infrastructure. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost. Key job responsibilities • Develop formal verification plans, implement and verify state-of-the-art IP architectures., • Work with block designers to gain deep micro-architectural understanding., • Develop checking algorithms, assertions, and FV models., • Perform state of the art formal methods and abstraction techniques., • Participate in test plan and coverage reviews., • Promote assertions to simulation and contribute to overall simulation strategy., • Communicate and work with team members across multiple disciplines. About the team 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 16 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. 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. • Bachelor's degree or above in computer science, electrical engineering, or related field, • 7+ years of practical experience with formal verification as IP/Block owner, or equivalent academic experience in formal methods., • 7+ years of experience with formal verification techniques including abstraction and end-to-end checking, or equivalent academic experience in formal methods., • Experience with formal verification techniques including abstraction and end-to-end checking, • Knowledge of programming or other scripting languages and coding skills (C/C++/C#, Node.JS, Java, Python, PHP, Ruby), • Understanding of u-arch design comprehension and debugging., • Practical experience with RTL design. 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 ___ 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 ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

At AWS, we're passionate about empowering the next generation of cloud builders. We're seeking an innovative and strategic leader to join our Developer Experience organization and own our student programs and community initiatives. This role presents an exceptional opportunity to shape how students learn, build, and grow with AWS while creating lasting connections within the broader developer community. As the People Manager for Student Programs & Community, you'll work at the intersection of developer education, community building, and technical advocacy. You'll collaborate with our AWS Builder Center and AWS Builder Loft teams to create seamless, engaging experiences that meet students where they are and inspire them to build their future on AWS. Key job responsibilities • Lead and develop a team focused on student developer engagement and community building, • Design and execute strategic programs that increase AWS adoption among student developers globally, • Partner with AWS Builder Center and Builder Loft teams to create integrated student experiences, • Build and maintain relationships with key educational institutions and student organizations, • Define success metrics and track program effectiveness, • Drive operational excellence in program execution and team management, • 6+ years of professional non-internship marketing experience, • Experience using data and metrics to drive improvements, • Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables), • Experience driving direction and alignment with cross-functional teams, • 5+ years of team management experience, • Experience leading primary research studies across various methodologies: online quant surveys, focus groups, 1:1, ethnographies, online qual, mobile, • Experience communicating results to senior leadership, • Experience in third party vendor/research partner management contract negotiation 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 ___ 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 $124,100/year in our lowest geographic market up to $205,200/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 ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon’s custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. 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. The Inference Enablement and Acceleration 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 inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. You can learn more about Neuron Key job responsibilities This role will help lead the efforts in 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, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: • Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators., • Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment., • Build infrastructure to systematically analyze and onboard multiple models with diverse architecture., • Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models, • Analyze and optimize system-level performance across multiple generations of Neuron hardware, • Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks, • Implement optimizations such as fusion, sharding, tiling, and scheduling, • Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines., • Work directly with customers to enable and optimize their ML models on AWS accelerators, • Collaborate across teams to develop innovative optimization techniques A day in the life You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As 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 will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you’re always working on the most important initiative. About the team The Inference Enablement and Acceleration team fosters a builder’s culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today. • Bachelor's degree in computer science or equivalent, • 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., • Software development experience in C++, Python (experience in at least one language is required)., • Strong understanding of system performance, memory management, and parallel computing principles., • Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems., • Master's degree in computer science or equivalent, • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Familiarity with PyTorch, JIT compilation, and AOT tracing., • Familiarity with CUDA kernels or equivalent ML or low-level kernels, • Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited., • Familiar with syntax and tile-level semantics similar to Triton., • Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments., • Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing. 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 ___ 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 ___. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Your Career The Prisma Cloud team delivers the industry’s most advanced Cloud SecOps platforms. This is an opportunity to develop your DevOps skills at scale, learn new technologies and operational processes, and advance your career in a large scale enterprise SaaS production environment. As a member of the Prisma Cloud DevOps team, your role will involve operating and maintaining large-scale AWS and GCP Production environments including databases, Infrastructure as Code and observability systems. To meet the opportunities that such a role provides, you will have knowledge of scaling and maintaining SQL and NoSQL databases, Kafka, Terraform, and supporting all aspects of Kubernetes as well as observability and monitoring tools and practices. Your Impact As a Principal SRE with the Prisma Cloud DevOps team, you will: * Gain Cloud Experience - Utilize your prior experience in maintaining cloud platforms to optimize our infrastructure * Manage Incidents - Participate in incident management, following established processes to ensure prompt resolution of system issues, minimizing impact on services * Implement CI/CD - Develop and maintain application deployment configuration, using tools such as Terraform and Helm * Continuously Improve - Stay up-to-date with cutting-edge technologies, evaluate their potential impact on our operations, and implement them when appropriate * Participate in On-Call - Participate in an on-call rotation with our DevOps teams to provide follow-the-sun operational coverage in the production of our SaaS product * Collaborate - Work with our Engineering teams to influence the operability of the product and ensure the reliability and availability of our services Your Experience * DevOps/SRE Experience - 8+ years of experience as a DevOps/SRE engineer with a passion for technology and a strong motivation for high reliability at the service level * Data Platform Experience - Design, deployment and maintenance of SQL DBs (e.g. PostgreSQL, MySQL) and NoSQL databases (e.g. Redis, Cassandra, Hadoop). Experience with Kafka is preferred. * Linux experience - A strong understanding of Linux internals allowing for quick troubleshooting * Incident and Alerts Management - Clear understanding of incident and alerts management in Site Reliability Engineering * Troubleshooting - Ability to effectively troubleshoot and address emerging and complex problems * Cloud Proficiency - Proficiency in Google Cloud Platform, Amazon Web Services or similar public cloud platform * Kubernetes and Docker - Experience with Docker and Kubernetes for container orchestration * Scripting and Automation - Proficiency in Python programming and Linux Shell commands * Terraform - Experience with Terraform for infrastructure as code * Security - Familiarity with security concepts and best practices * Observability - Experience with observability and incident response tools * Communication Skills - Effective communication and interpersonal skills, with the ability to work with and coordinate between multiple teams The Team Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. We are constantly innovating – challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before. We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $173,000 - $230,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found ___. #LI-TD1 Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at ___. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.

One of our partner company, are not just building AI—they’re redefining what’s possible at the nexus of physics, programming, and machine learning. As an Applied Scientist on their team, you’ll tackle real-world scientific and coding challenges—developing novel reinforcement-learning algorithms and physics-informed models that accelerate breakthroughs in logic, coding, and semiconductor design. If you thrive on pushing the envelope of research and translating cutting-edge ideas into production-grade systems, this is your stage. What you'll do • Prototype and validate new algorithms. Design, implement, and empirically evaluate novel RL, supervised, and unsupervised methods—especially those that leverage physics priors or logical constraints., • Bridge research and production. Collaborate closely with ML Engineers and infrastructure teams to integrate experimental models into scalable pipelines, ensuring reproducibility, observability, and sub-second performance., • Build robust experimentation platforms. Develop and maintain data-processing pipelines, training orchestration, and evaluation frameworks to accelerate iteration on large-scale experiments., • Analyze and iterate. Dive deep into large datasets—experimental logs, simulation outputs, and user interaction traces—to diagnose model behavior, surface failure modes, and drive evidence-based improvements., • PhD or Master’s in Computer Science, Applied Mathematics, Physics, Electrical Engineering, or a closely related field, with a strong focus on machine learning, reinforcement learning, or scientific computing., • Hands-on experience developing and evaluating ML/RL algorithms—ideally demonstrated via publications, open-source contributions, or applied research projects., • Proficiency in Python and deep-learning frameworks (PyTorch or TensorFlow), with solid coding practices for collaborative research. (Not required, but great to have): • Prior work on physics-informed neural networks, scientific simulations, or logic-based learning., • Demonstrated expertise in reinforcement learning for combinatorial optimization, theorem proving, or code generation. We’re a rapidly growing, VC-backed startup where “raw talent and collaborative spirit over ego” isn’t just a motto—it’s how we work every day. You’ll be surrounded by teammates who have built companies from zero to IPO, led teams at Google and Amazon, and earned medals in international science Olympiads. We value relentless curiosity, humble problem-solving, and a bias toward action. Logistics • Redwood Shores, CA (U.S.) and Toronto, ON (Canada), • Schedule: four days in our beautiful office, one day remote, • Visa Sponsorship: We welcome H-1B transfers and other employment-based visas

Job Title: Shopper Team Member Employer: Amazon.As a Shopper Team Member at Amazon, you will be responsible for shopping and preparing customer orders for delivery.You will use your knowledge of the warehouse layout and product locations to efficiently pick and pack orders.Your role is crucial in en

No experience requited, hiring immediately, appy now.Become part of the dedicated team that gets orders ready for people relying on Amazon’s service.From flexible part-time roles to full-time set schedules with health care benefits, Amazon has a variety of jobs available in our warehouses.FULFILLM

As an employee of an Amazon delivery service partner (DSP), you will work directly for the DSP that operates out of a local Amazon delivery station. Amazon has partnered with local Delivery Service Partners (DSPs), independent delivery organizations that help Amazon deliver thousands of packages to

Job Title: Warehouse Associate Employer: Amazon.As a Warehouse Associate at Amazon, you will play a crucial role in ensuring the timely and accurate processing of customer orders.You will be part of a fast-paced environment where efficiency and precision are paramount.Your responsibilities will incl

Paid Training & Vehicle Provided.Delivery Driver position - apply today and start next week! NO EXPERIENCE REQUIRED! WILLING TO TRAIN THE RIGHT CANDIDATES! Based in Milpitas.Successfully pass a pre-employment drug test.

What You'll Do: As a Delivery Driver, you will load and unload packages in our company van that can weigh up to 50 lbs. The pay rate for our Delivery Drivers starts at $24. Paid Training: We will train you! No previous delivery driver experience is required.

Paid training & vehicle provided.Delivery driver position - apply today and start next week! No experience required! Willing to train the right candidates! Based in Milpitas.Successfully pass a pre-employment drug test.

As a Forklift Operator at Amazon, you will be responsible for operating a forklift to move, locate, relocate, stack, and count merchandise. Job Title: Forklift Operator Employer: Amazon. Valid forklift operator certification.

Amazon Prime is hiring drivers for our delivery operations. Drivers must be comfortable operating in a fast paced environment where they will be expected to quickly and efficiently deliver packages.

Amazon Delivery Drivers - Milpitas, CA, United States [Package Handler / Courier] As an Amazon Delivery Driver, you'll: Help deliver packages to customers; Drive an Amazon-branded van; Stay active, Work independently; Work 4-5 days per week and up to 10 hours per day with shifts available seven days

Amazon Delivery Drivers - Milpitas, CA, United States [Package Handler / Courier] As an Amazon Delivery Driver, you'll: Help deliver packages to customers; Drive an Amazon-branded van; Stay active, Work independently; Work 4-5 days per week and up to 10 hours per day with shifts available seven days

Moosty Express is an Amazon Delivery Service Partner looking for enthusiastic, team players to deliver Amazon packages. Delivery Associates strive to get every Amazon order to the customer's door on-time.

The DBM team is structured by Business Managers, CapEx Business Managers, Advanced Sourcing, Strategy leads and Implementation lead based in different geographies. Upon success, the Business Manager will instill a forward-thinking collaborative and mutually-beneficial long-term relationship with a h

No experience requited, hiring immediately, appy now.Become part of the dedicated team that gets orders ready for people relying on Amazon’s service.From flexible part-time roles to full-time set schedules with health care benefits, Amazon has a variety of jobs available in our warehouses.FULFILLM

Valid Driver's License and clean driver history. A delivery driver on behalf of Amazon requires attention to safety, ability to hustle, customer devotion and the ability to communicate clearly to your manager, your team and your customers. We are searching for delivery drivers who are reliable, quic

Amazon warehouse associates hiring in your area.If you are looking for outstanding pay, flexible part-time, full-time and seasonal schedules, plus benefits for you and your family, the Amazon Logistics Team has you covered! Qualifications, High School or equivalent diploma,Experience with Windows Op

Job Description: Are you looking for a seasonal opportunity with flexible hours and competitive pay? Join our team as Seasonal Delivery Driver! We're seeking responsible and motivated individuals to ensure timely deliveries of packages, food, or retail items to our customers during peak dema

Amazon Delivery Drivers - San Jose, CA, United States [Package Handler / Courier] As an Amazon Delivery Driver, you'll: Help deliver packages to customers; Drive an Amazon-branded van; Stay active, Work independently; Work 4-5 days per week and up to 10 hours per day with shifts available seven days

Amazon Prime is hiring drivers for our delivery operations. Drivers must be comfortable operating in a fast paced environment where they will be expected to quickly and efficiently deliver packages.

The Team and Role: As a Channel Account Manager for Amazon 4 Business and AWS, you will be at the forefront of advancing Logitech's partnerships with Amazon's business environment and AWS ecosystems. Sales, Marketing, Product Management) to ensure alignment and achieve key business objectives. Organ

We are looking for people who want to work remotely from home. All backgrounds welcome: Work from home, part time, Amazon, customer service representative, medical professional, remote work at home, drivers, administrative assistant, work from home customer service representative, registered nurse,

Amazon Delivery Service Partner operating out of the Milpitas Location. Our goal is to provide reliable and efficient delivering service to Amazon customers while focused on safety, teamwork and employee recognition and growth.

We have an opening for a talented Amazon Customer Service Representative (Remote) to assist customers with orders, returns, and account issues via phone, chat, or email. Interact with customers and colleagues in a professional manner. Interact with customers and colleagues in a professional manner.

Help us succeed as our next Amazon Customer Service Representative (Remote) to follow safety procedures and company policies, assist with organizing, stocking, and general upkeep, and respond promptly to inquiries and resolve basic issues.Other duties include assist with processing returns and excha

As a Delivery Driver at Amazon, you will be responsible for delivering packages to customers in a safe and timely manner. Load and unload packages from the delivery vehicle. Maintain accurate delivery records.