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Description: Located in Hershey, PA, Milton Hershey School (MHS) is a top-notch home and school where over 2,200 pre-K through 12th grade students from disadvantaged backgrounds are provided an extraordinary, cost-free, career-focused education. This is made possible by the generosity of Milton and Catherine Hershey, who established the school in 1909 and ensured it was fully endowed. Thanks to their foresight and generosity, the school has over 12,000 graduates and continues to expand to serve more students. MHS is hiring married couples to serve as Full-time Flex Houseparents. In this unique and life-changing career, couples reside in on-campus student homes and provide care, guidance, supervision, and support for a group of approximately 8–13 students living in the home. Flex Houseparents play a vital role in creating a structured, family-like environment that fosters students’ academic, emotional, and social development so they can reach their full potential. Responsibilities include: • Providing daily supervision and mentorship, • Managing household routines and student schedules, • Administering medications and ensuring student wellness, • Driving students to activities, as well as planning and actively engaging in developmental and recreational activities with students, • Leading daily devotions and accompanying students to Sunday Chapel, • Overseeing budgeting and household reporting Upon hire, Flex Houseparents initially support various student homes and follow a working schedule of nine consecutive days on duty, followed by three days off. On weekdays, houseparents have unscheduled time while students are in school. Flex Houseparents eventually transition into a Placed Houseparent role, where they live and work with the same group of students in their own student home. Benefits include: • Salary: $46,917.00 per person (approximately $180,000 total compensation per couple, including free housing, meals while on duty, utilities, and more), • Comprehensive benefits: medical, dental, and vision insurance; health savings and flexible spending accounts; life insurance; disability options; retirement savings, • Relocation assistance and paid training provided, • Paid time off provided at designated times throughout the year Qualifications: Qualifications include: • Experience working or volunteering with youth, • This is a two-person role for couples legally married for at least two years, • Both spouses must be age 27 or older, • No more than three dependent children may reside in the student home, • Commitment to a smoke-free and weapon-free campus; no alcohol permitted while on duty, • Pet limitations: only fish and one dog of approved breeds allowed, • Valid U.S. driver’s license and ability to become certified to drive student home vans, • Comfort leading students in daily devotions and accompanying them to Judeo-Christian Sunday Chapel services (proselytizing prohibited), • High school diploma or GED required, • Ability to lift to 50 lbs., • Demonstrated integrity and professionalism; MHS staff serve as role models for students This is a unique, challenging, and rewarding career and life choice that requires a high level of commitment to student success from both spouses. For consideration, both spouses must complete individual employment applications. To learn more and apply, visit _.

Description: Located in Hershey, PA, Milton Hershey School (MHS) is a top-notch home and school where over 2,200 pre-K through 12th grade students from disadvantaged backgrounds are provided an extraordinary, cost-free, career-focused education. This is made possible by the generosity of Milton and Catherine Hershey, who established the school in 1909 and ensured it was fully endowed. Thanks to their foresight and generosity, the school has over 12,000 graduates and continues to expand to serve more students. MHS is hiring married couples to serve as Full-time Flex Houseparents. In this unique and life-changing career, couples reside in on-campus student homes and provide care, guidance, supervision, and support for a group of approximately 8–13 students living in the home. Flex Houseparents play a vital role in creating a structured, family-like environment that fosters students’ academic, emotional, and social development so they can reach their full potential. Responsibilities include: • Providing daily supervision and mentorship, • Managing household routines and student schedules, • Administering medications and ensuring student wellness, • Driving students to activities, as well as planning and actively engaging in developmental and recreational activities with students, • Leading daily devotions and accompanying students to Sunday Chapel, • Overseeing budgeting and household reporting Upon hire, Flex Houseparents initially support various student homes and follow a working schedule of nine consecutive days on duty, followed by three days off. On weekdays, houseparents have unscheduled time while students are in school. Flex Houseparents eventually transition into a Placed Houseparent role, where they live and work with the same group of students in their own student home. Benefits include: • Salary: $46,917.00 per person (approximately $180,000 total compensation per couple, including free housing, meals while on duty, utilities, and more), • Comprehensive benefits: medical, dental, and vision insurance; health savings and flexible spending accounts; life insurance; disability options; retirement savings, • Relocation assistance and paid training provided, • Paid time off provided at designated times throughout the year Qualifications: Qualifications include: • Experience working or volunteering with youth, • This is a two-person role for couples legally married for at least two years, • Both spouses must be age 27 or older, • No more than three dependent children may reside in the student home, • Commitment to a smoke-free and weapon-free campus; no alcohol permitted while on duty, • Pet limitations: only fish and one dog of approved breeds allowed, • Valid U.S. driver’s license and ability to become certified to drive student home vans, • Comfort leading students in daily devotions and accompanying them to Judeo-Christian Sunday Chapel services (proselytizing prohibited), • High school diploma or GED required, • Ability to lift to 50 lbs., • Demonstrated integrity and professionalism; MHS staff serve as role models for students This is a unique, challenging, and rewarding career and life choice that requires a high level of commitment to student success from both spouses. For consideration, both spouses must complete individual employment applications. To learn more and apply, visit _.

Description: Located in Hershey, PA, Milton Hershey School (MHS) is a top-notch home and school where over 2,200 pre-K through 12th grade students from disadvantaged backgrounds are provided an extraordinary, cost-free, career-focused education. This is made possible by the generosity of Milton and Catherine Hershey, who established the school in 1909 and ensured it was fully endowed. Thanks to their foresight and generosity, the school has over 12,000 graduates and continues to expand to serve more students. MHS is hiring married couples to serve as Full-time Flex Houseparents. In this unique and life-changing career, couples reside in on-campus student homes and provide care, guidance, supervision, and support for a group of approximately 8–13 students living in the home. Flex Houseparents play a vital role in creating a structured, family-like environment that fosters students’ academic, emotional, and social development so they can reach their full potential. Responsibilities include: • Providing daily supervision and mentorship, • Managing household routines and student schedules, • Administering medications and ensuring student wellness, • Driving students to activities, as well as planning and actively engaging in developmental and recreational activities with students, • Leading daily devotions and accompanying students to Sunday Chapel, • Overseeing budgeting and household reporting Upon hire, Flex Houseparents initially support various student homes and follow a working schedule of nine consecutive days on duty, followed by three days off. On weekdays, houseparents have unscheduled time while students are in school. Flex Houseparents eventually transition into a Placed Houseparent role, where they live and work with the same group of students in their own student home. Benefits include: • Salary: $46,917.00 per person (approximately $180,000 total compensation per couple, including free housing, meals while on duty, utilities, and more), • Comprehensive benefits: medical, dental, and vision insurance; health savings and flexible spending accounts; life insurance; disability options; retirement savings, • Relocation assistance and paid training provided, • Paid time off provided at designated times throughout the year Qualifications: Qualifications include: • Experience working or volunteering with youth, • This is a two-person role for couples legally married for at least two years, • Both spouses must be age 27 or older, • No more than three dependent children may reside in the student home, • Commitment to a smoke-free and weapon-free campus; no alcohol permitted while on duty, • Pet limitations: only fish and one dog of approved breeds allowed, • Valid U.S. driver’s license and ability to become certified to drive student home vans, • Comfort leading students in daily devotions and accompanying them to Judeo-Christian Sunday Chapel services (proselytizing prohibited), • High school diploma or GED required, • Ability to lift to 50 lbs., • Demonstrated integrity and professionalism; MHS staff serve as role models for students This is a unique, challenging, and rewarding career and life choice that requires a high level of commitment to student success from both spouses. For consideration, both spouses must complete individual employment applications. To learn more and apply, visit _.

Description: Located in Hershey, PA, Milton Hershey School (MHS) is a top-notch home and school where over 2,200 pre-K through 12th grade students from disadvantaged backgrounds are provided an extraordinary, cost-free, career-focused education. This is made possible by the generosity of Milton and Catherine Hershey, who established the school in 1909 and ensured it was fully endowed. Thanks to their foresight and generosity, the school has over 12,000 graduates and continues to expand to serve more students. MHS is hiring married couples to serve as Full-time Flex Houseparents. In this unique and life-changing career, couples reside in on-campus student homes and provide care, guidance, supervision, and support for a group of approximately 8–13 students living in the home. Flex Houseparents play a vital role in creating a structured, family-like environment that fosters students’ academic, emotional, and social development so they can reach their full potential. Responsibilities include: • Providing daily supervision and mentorship, • Managing household routines and student schedules, • Administering medications and ensuring student wellness, • Driving students to activities, as well as planning and actively engaging in developmental and recreational activities with students, • Leading daily devotions and accompanying students to Sunday Chapel, • Overseeing budgeting and household reporting Upon hire, Flex Houseparents initially support various student homes and follow a working schedule of nine consecutive days on duty, followed by three days off. On weekdays, houseparents have unscheduled time while students are in school. Flex Houseparents eventually transition into a Placed Houseparent role, where they live and work with the same group of students in their own student home. Benefits include: • Salary: $46,917.00 per person (approximately $180,000 total compensation per couple, including free housing, meals while on duty, utilities, and more), • Comprehensive benefits: medical, dental, and vision insurance; health savings and flexible spending accounts; life insurance; disability options; retirement savings, • Relocation assistance and paid training provided, • Paid time off provided at designated times throughout the year Qualifications: Qualifications include: • Experience working or volunteering with youth, • This is a two-person role for couples legally married for at least two years, • Both spouses must be age 27 or older, • No more than three dependent children may reside in the student home, • Commitment to a smoke-free and weapon-free campus; no alcohol permitted while on duty, • Pet limitations: only fish and one dog of approved breeds allowed, • Valid U.S. driver’s license and ability to become certified to drive student home vans, • Comfort leading students in daily devotions and accompanying them to Judeo-Christian Sunday Chapel services (proselytizing prohibited), • High school diploma or GED required, • Ability to lift to 50 lbs., • Demonstrated integrity and professionalism; MHS staff serve as role models for students This is a unique, challenging, and rewarding career and life choice that requires a high level of commitment to student success from both spouses. For consideration, both spouses must complete individual employment applications. To learn more and apply, visit _.

Description: Located in Hershey, PA, Milton Hershey School (MHS) is a top-notch home and school where over 2,200 pre-K through 12th grade students from disadvantaged backgrounds are provided an extraordinary, cost-free, career-focused education. This is made possible by the generosity of Milton and Catherine Hershey, who established the school in 1909 and ensured it was fully endowed. Thanks to their foresight and generosity, the school has over 12,000 graduates and continues to expand to serve more students. MHS is hiring married couples to serve as Full-time Flex Houseparents. In this unique and life-changing career, couples reside in on-campus student homes and provide care, guidance, supervision, and support for a group of approximately 8–13 students living in the home. Flex Houseparents play a vital role in creating a structured, family-like environment that fosters students’ academic, emotional, and social development so they can reach their full potential. Responsibilities include: • Providing daily supervision and mentorship, • Managing household routines and student schedules, • Administering medications and ensuring student wellness, • Driving students to activities, as well as planning and actively engaging in developmental and recreational activities with students, • Leading daily devotions and accompanying students to Sunday Chapel, • Overseeing budgeting and household reporting Upon hire, Flex Houseparents initially support various student homes and follow a working schedule of nine consecutive days on duty, followed by three days off. On weekdays, houseparents have unscheduled time while students are in school. Flex Houseparents eventually transition into a Placed Houseparent role, where they live and work with the same group of students in their own student home. Benefits include: • Salary: $46,917.00 per person (approximately $180,000 total compensation per couple, including free housing, meals while on duty, utilities, and more), • Comprehensive benefits: medical, dental, and vision insurance; health savings and flexible spending accounts; life insurance; disability options; retirement savings, • Relocation assistance and paid training provided, • Paid time off provided at designated times throughout the year Qualifications: Qualifications include: • Experience working or volunteering with youth, • This is a two-person role for couples legally married for at least two years, • Both spouses must be age 27 or older, • No more than three dependent children may reside in the student home, • Commitment to a smoke-free and weapon-free campus; no alcohol permitted while on duty, • Pet limitations: only fish and one dog of approved breeds allowed, • Valid U.S. driver’s license and ability to become certified to drive student home vans, • Comfort leading students in daily devotions and accompanying them to Judeo-Christian Sunday Chapel services (proselytizing prohibited), • High school diploma or GED required, • Ability to lift to 50 lbs., • Demonstrated integrity and professionalism; MHS staff serve as role models for students This is a unique, challenging, and rewarding career and life choice that requires a high level of commitment to student success from both spouses. For consideration, both spouses must complete individual employment applications. To learn more and apply, visit _.

Description: Located in Hershey, PA, Milton Hershey School (MHS) is a top-notch home and school where over 2,200 pre-K through 12th grade students from disadvantaged backgrounds are provided an extraordinary, cost-free, career-focused education. This is made possible by the generosity of Milton and Catherine Hershey, who established the school in 1909 and ensured it was fully endowed. Thanks to their foresight and generosity, the school has over 12,000 graduates and continues to expand to serve more students. MHS is hiring married couples to serve as Full-time Flex Houseparents. In this unique and life-changing career, couples reside in on-campus student homes and provide care, guidance, supervision, and support for a group of approximately 8–13 students living in the home. Flex Houseparents play a vital role in creating a structured, family-like environment that fosters students’ academic, emotional, and social development so they can reach their full potential. Responsibilities include: • Providing daily supervision and mentorship, • Managing household routines and student schedules, • Administering medications and ensuring student wellness, • Driving students to activities, as well as planning and actively engaging in developmental and recreational activities with students, • Leading daily devotions and accompanying students to Sunday Chapel, • Overseeing budgeting and household reporting Upon hire, Flex Houseparents initially support various student homes and follow a working schedule of nine consecutive days on duty, followed by three days off. On weekdays, houseparents have unscheduled time while students are in school. Flex Houseparents eventually transition into a Placed Houseparent role, where they live and work with the same group of students in their own student home. Benefits include: • Salary: $46,917.00 per person (approximately $180,000 total compensation per couple, including free housing, meals while on duty, utilities, and more), • Comprehensive benefits: medical, dental, and vision insurance; health savings and flexible spending accounts; life insurance; disability options; retirement savings, • Relocation assistance and paid training provided, • Paid time off provided at designated times throughout the year Qualifications: Qualifications include: • Experience working or volunteering with youth, • This is a two-person role for couples legally married for at least two years, • Both spouses must be age 27 or older, • No more than three dependent children may reside in the student home, • Commitment to a smoke-free and weapon-free campus; no alcohol permitted while on duty, • Pet limitations: only fish and one dog of approved breeds allowed, • Valid U.S. driver’s license and ability to become certified to drive student home vans, • Comfort leading students in daily devotions and accompanying them to Judeo-Christian Sunday Chapel services (proselytizing prohibited), • High school diploma or GED required, • Ability to lift to 50 lbs., • Demonstrated integrity and professionalism; MHS staff serve as role models for students This is a unique, challenging, and rewarding career and life choice that requires a high level of commitment to student success from both spouses. For consideration, both spouses must complete individual employment applications. To learn more and apply, visit _.

🟢 Starting Salary: $90,000 - $105,000 /year based on experience PLUS $2,000 Annual Education Stipend! 🏫 Environment: Special Education Programs, Grades K-12 📍 Regional Assignment: N./Central California - | _, a growing, dynamic organization with a social mission to offer hope, is seeking a Regional Board-Certified Behavior Analyst (BCBA) to join our award-winning Special Education team and perform meaningful work in a culture that welcomes innovation, encourages creative expression and offers limitless potential for personal and professional satisfaction! If you thrive in a collaborative, goal-oriented environment focused on meaningful outcomes for students with special education needs, seek a career filled with genuine purpose, and possess strong problem-solving skills, compassion, a sense of humor, and exceptional dedication — We Should Talk! 📲 As the Regional Board-Certified Behavior Analyst (BCBA), you'll play a pivotal role in transforming the lives of students in Grades K-12 across multiple _ by providing tailored clinical and educational interventions designed to meet each learner’s unique needs. You’ll lead with expertise, guiding and mentoring your team through hands-on training and professional development, while consistently evaluating and elevating their performance. As our primary advocate for quality assurance, you'll ensure our programs not only comply with applicable laws and regulations but also reflect best practices and internal standards, fostering an environment where students thrive and achieve lasting success. This position works under the support and direction of the Area/Regional VP, Operations and onsite Program Directors to enhance the academic, social, emotional, and behavioral outcomes of students through use of evidence-based interventions and in collaboration with the operations and educational staff from each campus within assigned area. ‖ Responsibilities Include: • Delivering comprehensive training and continuous guidance to teachers and educational staff in designing impactful Functional Behavior Assessments (FBAs) and Behavior Intervention Plans (BIPs)., • Monitoring and evaluating the effectiveness and quality of academic instruction and behavioral support services provided to students, ensuring exceptional outcomes., • Supporting Spectrum staff by modeling, reinforcing, and enhancing instructional best practices to promote student growth aligned with Individualized Education Plan (IEP) goals., • Implementing evidence-based interventions by applying scientifically proven behavioral and educational strategies, promoting positive outcomes in academic, social, emotional, and independent functioning., • Providing crisis management intervention and support for students exhibiting aggressive or self-injurious behavior and developing strategies to reduce the need for 1:1 staffing., • Collaborating closely with on-site education teams to collect and analyze data on student behavior, monitor student progress, and ensure appropriate intervention responsiveness and consistent progress toward goals., • Conducting regular quality checks for each campus within assigned region at the student, staff, classroom, and site levels; making recommendations for improvement based on analysis of data., • Supporting the development of on-site teams within assigned the area through delivery of training on behavioral assessment, intervention, positive behavior supports, data collection, crisis management, and other relevant topics., • Providing guidance and supervision to staff members within assigned region pursuing BACB certification (RBT, BCaBA, BCBA), as agreed with the Program Director or VP of Behavior Services., • Assisting in the development and implementation of improvement plans for assigned campuses to enhance student performance and staff effectiveness., • Engaging in multi-disciplinary on-site and regional team meetings to discuss behavioral needs and contribute to the development of comprehensive support strategies., • Monitoring and ensuring adherence of all campuses to Department of Education regulations and internal standards for educational and behavioral service is maintained within assigned area., • Maintaining accurate and detailed records of assessments, interventions, progress, and compliance activities., • Providing operational support to all schools in the assigned area, focusing on academic achievement, behavioral support, staff retention, and development., • Performing additional duties or special projects as assigned to support organizational goals and student success. ‖ Qualifications Required: • Master’s degree or higher in applied behavior analysis, behavioral therapy, special education or a closely related field of study., • Licensed currently or in the process of obtaining a board-certified behavior analyst (BCBA) credential., • Licensed currently or in the process of obtaining an education specialist or special education instruction credential preferred., • Hold currently or have the ability to obtain a valid CA state driver’s license., • Ability to obtain and maintain certification in company approved crisis management training., • Prior experience and/or knowledge in providing behavioral support, preferably in an alternative, special education and/or behavioral health program setting., • Well-versed in applied behavior analysis (ABA) including positive behavior interventions and supports (PBIS), data-based decision making, functional behavior assessment (FBA) and behavior intervention plans (BIP's)., • Highly skilled in working with children with learning disabilities, emotional behavioral disorders, autism spectrum disorders, and/or other related disabilities., • Prior experience and/or knowledge in special education services and compliance, effective teaching strategies, classroom management systems, data-based decision making, working with students with individualized education plans (IEP's)., • Proven success in developing and implementing effective intervention plans for students with diverse needs., • Proficiency in providing motivation and having critical conversations with students that help move them toward realistic goals., • Prior experience and/or highly skilled in crisis management systems and intervention procedures., • Ability to think and act quickly and calmly in an emergency and make independent decisions., • Advanced oral and written communication, organization, conflict resolution, multitasking, problem solving, and decision-making ability., • Knowledge of relevant technology including experience with computers, Microsoft Office Suite, database entry and basic office equipment. is a division of , the nation’s leading provider of alternative and special education programs for children and young adults. For more than 50 years, and in partnership with over 235 school districts nationwide, we have helped change the direction of more than 240,000 student lives! 💻 Learn more about our history, our mission and the program services we provide by visiting the link below: • _ At ChanceLight we believe in providing more than just a job, as a member of our team you'll receive the opportunity to make meaningful impacts, the support needed to achieve success, and all the tools essential to reaching your personal & professional fulfillment! Your path to a truly rewarding career starts here – where growth, empowerment, and collaboration define our culture; and every day is a Chance to transform lives through education! ‖ Perks and Benefits Include: • Comprehensive Medical, Dental and Vision Plans, • Annual Education Stipend - $2,000, • FREE Telehealth and Virtual Counseling Sessions, • FREE Health Advocacy Services and 24/7 Nurse Line, • Company Paid Life & Disability Insurance, • Company Paid Employee Assistance Program, • Flexible Spending and Health Savings Accounts, • Personal Protection Insurance Plans, • Cigna Healthy Pregnancies, Healthy Babies Program, • Legal Services Insurance, • Pet Health Insurance, • Accrual-based Paid Time Off, • School Hours and Paid Holiday Schedule, • Extensive Personal and Life Event Paid Leave Policy, • 401k Retirement Saving Plan, • Perks at Work Employee Discount Program, • Opportunities for Growth & Development, • And So Much More! If you're ready to start making lasting impacts on the lives of students and contribute to the creation of a brighter future — This Is Your Chance! Join us and together, we can empower students to overcome challenges, build confidence and unlock their full potential! _ Copyright © 2026 ChanceLight Behavioral Health, Therapy, & Education, a _ company *Benefit plans and eligibility requirements may vary based on role and employment status. Education Required • Masters or better in Applied Behavior Analysis or related field Licenses & Certifications Required • Ability to Obtain, • Behavioral - BCBA, • Crisis Prevention Inst, • Driver LicensesPreferred, • Special Ed Certification Skills Required • Special Education, • Parent Counseling & Train, • Teacher Mentoring/Training, • Performance Motivation, • Crisis Intervention, • Positive Behavior Intervention and Support, • Functional Behavioral Assessment (FBA), • Behavior Intervention Plans - BIP, • Applied Behavior Analysis (ABA), • Emotional Disturbance, • Behavioral Disorders, • Learning Disabilities, • Autism, • Student Development, • Individualized Education Programs (IEP), • Classroom Instruction, • Classroom Management, • Interdepartmental Collaboration, • Communication, • Problem Solving, • Interpersonal Skills, • Computer Skills, • K-12 Education, • Treatment Planning, • Regional/Multi-State Support Behaviors Preferred • Dedicated: Devoted to a task or purpose with loyalty or integrity, • Functional Expert: Considered a thought leader on a subject Motivations Preferred • Ability to Make an Impact: Inspired to perform well by the ability to contribute to the success of a project or the organization Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the _ notice from the Department of Labor.

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. EC2 Nitro drives the planet’s largest, fastest growing and most feature-rich compute cloud. Nitro is AWS’s ground-up design for virtualization at global scale built on a fully custom stack of hardware, firmware and applications. Nitro has enabled EC2 to support Intel, AMD and Amazon’s custom silicon - Graviton3 - while raising the industry bar for security and performance across our product line. The Nitro Team is looking for engineers with systems knowledge and experience in area such as Linux OS boot sequencing, Kernel, Hypervisor (Xen or KVM), peripheral device development (PCIe or NVMe) and building compute infrastructure to support High Memory and High performance computing workloads. The Nitro High Memory and HPC team owns the purpose built platform development for the High performance computing workloads and database workloads like SAP, Oracle and SQL with tens of terra-byte of memories. Team interfaces directly with system BIOS for bare-metal instances and drives critical system interactions within the Nitro Hypervisor and across EC2 control-plane services. We need engineers with the dive-deep and ownership to work across domains (such as PC peripheral firmware or Linux Kernel internals) to deliver features and new instance types for our customers. Work is typically done in C/C++ or Rust with supporting script and tests in Python and Lua. 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. 10017 • 3+ years of non-internship professional software development experience, • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience programming with at least one software programming language, • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor's degree in computer science or equivalent 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, SANTA CLARA - 165,200.00 - 223,600.00 USD annually

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. EC2 Nitro drives the planet’s largest, fastest growing and most feature-rich compute cloud. Nitro is AWS’s ground-up design for virtualization at global scale built on a fully custom stack of hardware, firmware and applications. Nitro has enabled EC2 to support Intel, AMD and Amazon’s custom silicon - Graviton3 - while raising the industry bar for security and performance across our product line. The Nitro Team is looking for engineers with systems knowledge and experience in area such as Linux OS boot sequencing, Kernel, Hypervisor (Xen or KVM), peripheral device development (PCIe or NVMe) and building compute infrastructure to support High Memory and High performance computing workloads. The Nitro High Memory and HPC team owns the purpose built platform development for the High performance computing workloads and database workloads like SAP, Oracle and SQL with tens of terra-byte of memories. Team interfaces directly with system BIOS for bare-metal instances and drives critical system interactions within the Nitro Hypervisor and across EC2 control-plane services. We need engineers with the dive-deep and ownership to work across domains (such as PC peripheral firmware or Linux Kernel internals) to deliver features and new instance types for our customers. Work is typically done in C/C++ or Rust with supporting script and tests in Python and Lua. 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. 10017 • 3+ years of non-internship professional software development experience, • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience programming with at least one software programming language, • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor's degree in computer science or equivalent 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, SANTA CLARA - 165,200.00 - 223,600.00 USD annually

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. Do you enjoy building systems from the ground up? Are you passionate about setting standards for an AWS product in its early stages of development, as well as influence its architecture and product ideation? Do you like working with latest native AWS technologies and developing systems that can grow to the AWS scale? As part of AWS Supply Chain Management Team, you'll be a key part of developing next-generation supply chain solutions, and you'll have the chance to design and create enterprise-class products from scratch. You'll architect, design, and implement federated and highly scalable distributed systems with high availability, low latency, and high throughput. You'll get the chance to use AWS' latest technologies to build and deploy enterprise-class products. We are looking for creative and motivated software developers that want to work on challenging and high-impact problems. To be successful in this role, you must have a thorough understanding of algorithms and data structures, as well as the ability to produce bulletproof code. You must be passionate about delivering high-quality designs, inventive in problem-solving, and unafraid to think outside the box. About the team Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences 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. 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 (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. 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. • 5+ years of non-internship professional software development experience, • 5+ years of programming with at least one software programming language experience, • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience as a mentor, tech lead or leading an engineering team, • Bachelor'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, • 5+ years of supply chain management, planning, strategic sourcing, commodity management or program management experience 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Sunnyvale - 193,300.00 - 261,500.00 USD annually

Responsibilities: WHAT YOU WILL DO A Licensed Vocational Nurse is a nurse with one year of general nursing experience. The Licensed Vocational Nurse provides direct patient care under the supervision of the Registered Nurse and will follow Satellite policies and procedures per their state Scope of Practice, safely and efficiently. WHAT WE EXPECT OF YOU You will play a vital role to ensure that we deliver on our Mission to make life better for those with kidney disease and our Vision to be unsurpassed in our individualized experience, our quality, and our compassion. You approach your work with an indisputable sense of greater purpose. Lastly, you are high energy, seek out opportunities to improve the environment for patients and staff, are goal-oriented, and gain deep satisfaction from building relationships. WHAT YOU WILL GAIN Relationships: You will work directly with a multi-disciplinary team that is as passionate as you in making a difference in others' lives. You will become a servant leader, bringing up your team to provide care that is unsurpassed by others in our industry. Impact: You will set the tone that enables our patients to live a better life and address their needs holistically. You will make a difference for our patients so that they do dialysis to live instead of living for dialysis. Growth: You will have formal and informal opportunities for professional growth in a supportive environment. You will become a subject-matter expert and have a wide range of opportunities for career advancement. MINIMUM QUALIFICATIONS Experience • One (1) year License Vocational Nurse general nursing experience Education • Graduation from an accredited nursing school or equivalent. License/Certification • Valid Licensed Vocational Nurse or Licensed Practical Nurse in the state of practice and current CPR certification, • IV/BW Certification Qualifications: WHAT YOU WILL DO A Licensed Vocational Nurse is a nurse with one year of general nursing experience. The Licensed Vocational Nurse provides direct patient care under the supervision of the Registered Nurse and will follow Satellite policies and procedures per their state Scope of Practice, safely and efficiently. WHAT WE EXPECT OF YOU You will play a vital role to ensure that we deliver on our Mission to make life better for those with kidney disease and our Vision to be unsurpassed in our individualized experience, our quality, and our compassion. You approach your work with an indisputable sense of greater purpose. Lastly, you are high energy, seek out opportunities to improve the environment for patients and staff, are goal-oriented, and gain deep satisfaction from building relationships. WHAT YOU WILL GAIN Relationships: You will work directly with a multi-disciplinary team that is as passionate as you in making a difference in others' lives. You will become a servant leader, bringing up your team to provide care that is unsurpassed by others in our industry. Impact: You will set the tone that enables our patients to live a better life and address their needs holistically. You will make a difference for our patients so that they do dialysis to live instead of living for dialysis. Growth: You will have formal and informal opportunities for professional growth in a supportive environment. You will become a subject-matter expert and have a wide range of opportunities for career advancement. MINIMUM QUALIFICATIONS Experience • One (1) year License Vocational Nurse general nursing experience Education • Graduation from an accredited nursing school or equivalent. License/Certification • Valid Licensed Vocational Nurse or Licensed Practical Nurse in the state of practice and current CPR certification Benefit Details All Full-Time employees are eligible for the following benefits: • Medical / Pharmacy, • Dental, • Vision, • Voluntary benefits, • 401k with employer match, • Virtual Care, • Life Insurance, • Voluntary Benefits, • PTO All Part Time employees are eligible for the following benefits: • 401k with employer match, • PTO Pay Range: USD $27.92 - USD $38.00 /Hr. Company (Career Site Brand): Satellite Healthcare

Responsibilities: WHAT YOU WILL DO A Licensed Vocational Nurse is a nurse with one year of general nursing experience. The Licensed Vocational Nurse provides direct patient care under the supervision of the Registered Nurse and will follow Satellite policies and procedures per their state Scope of Practice, safely and efficiently. WHAT WE EXPECT OF YOU You will play a vital role to ensure that we deliver on our Mission to make life better for those with kidney disease and our Vision to be unsurpassed in our individualized experience, our quality, and our compassion. You approach your work with an indisputable sense of greater purpose. Lastly, you are high energy, seek out opportunities to improve the environment for patients and staff, are goal-oriented, and gain deep satisfaction from building relationships. WHAT YOU WILL GAIN Relationships: You will work directly with a multi-disciplinary team that is as passionate as you in making a difference in others' lives. You will become a servant leader, bringing up your team to provide care that is unsurpassed by others in our industry. Impact: You will set the tone that enables our patients to live a better life and address their needs holistically. You will make a difference for our patients so that they do dialysis to live instead of living for dialysis. Growth: You will have formal and informal opportunities for professional growth in a supportive environment. You will become a subject-matter expert and have a wide range of opportunities for career advancement. MINIMUM QUALIFICATIONS Experience • One (1) year License Vocational Nurse general nursing experience Education • Graduation from an accredited nursing school or equivalent. License/Certification • Valid Licensed Vocational Nurse or Licensed Practical Nurse in the state of practice and current CPR certification Qualifications: WHAT YOU WILL DO A Licensed Vocational Nurse is a nurse with one year of general nursing experience. The Licensed Vocational Nurse provides direct patient care under the supervision of the Registered Nurse and will follow Satellite policies and procedures per their state Scope of Practice, safely and efficiently. WHAT WE EXPECT OF YOU You will play a vital role to ensure that we deliver on our Mission to make life better for those with kidney disease and our Vision to be unsurpassed in our individualized experience, our quality, and our compassion. You approach your work with an indisputable sense of greater purpose. Lastly, you are high energy, seek out opportunities to improve the environment for patients and staff, are goal-oriented, and gain deep satisfaction from building relationships. WHAT YOU WILL GAIN Relationships: You will work directly with a multi-disciplinary team that is as passionate as you in making a difference in others' lives. You will become a servant leader, bringing up your team to provide care that is unsurpassed by others in our industry. Impact: You will set the tone that enables our patients to live a better life and address their needs holistically. You will make a difference for our patients so that they do dialysis to live instead of living for dialysis. Growth: You will have formal and informal opportunities for professional growth in a supportive environment. You will become a subject-matter expert and have a wide range of opportunities for career advancement. MINIMUM QUALIFICATIONS Experience • One (1) year License Vocational Nurse general nursing experience Education • Graduation from an accredited nursing school or equivalent. License/Certification • Valid Licensed Vocational Nurse or Licensed Practical Nurse in the state of practice and current CPR certification Benefit Details All Full-Time employees are eligible for the following benefits: • Medical / Pharmacy, • Dental, • Vision, • Voluntary benefits, • 401k with employer match, • Virtual Care, • Life Insurance, • Voluntary Benefits, • PTO All Part Time employees are eligible for the following benefits: • 401k with employer match, • PTO Pay Range: USD $31.83 - USD $39.76 /Hr. Company (Career Site Brand): Satellite Healthcare

Overview: If you reside in California, please see our _ for more information about our data handling practices and your data rights. Responsibilities: MV Transportation is seeking a Fleet Maintenance Supervisor to supervise the maintenance operation during their shift. This includes preventative maintenance and repair of a large fleet of buses and sedans, supervision of all maintenance staff during their assigned shift, assurance that all contractual requirements are achieved, supervision of the maintenance program and reports as well as tracking work orders and filling appropriately. The Fleet Maintenance Supervisor will work under the Fleet Maintenance Manager in the running of the day-to-day business. Qualified candidates must have technical competence with light/medium-duty vehicle repair and preventive maintenance. Job Responsibilities: • Coordinate with the Maintenance Manager, other Maintenance Supervisors, and assigned Maintenance Leads to schedule and/or resume vehicle maintenance on assigned shift. Maintains close communications with Operations, to respond to road calls in a timely manner. Dispatch mechanics, and schedule repairs in an expedient manner., • Reviews work orders for accuracy and ensure production schedules are met. With prioritization, safety, quality, and efficiency foremost, the MS estimates productivity times and establishes or adjusts shift employees’ production schedules., • Conduct pre-shift meeting with employees to communicate, prioritize, assign, adjust and interpret for vehicle inspection, servicing, repairing, and cleaning., • Supervise Maintenance Department employees and productivity to ensure accurate and timely completion of job assignments and cleanup activities with follow-up inspection. Clearly communicates staff expectation in an effective and consistent manner., • Responsible for the monitoring and recording of employee work time and attendance, in coordination with the Maintenance Manager, review, approve and schedule employee time off balancing the need for overtime usage., • Train and direct employees on shift in all phases of service and repair of vehicles including but not limited to, basic repairs, air conditioning, electrical, major component rebuild and/or vehicle cleaning operations., • Consistently and fairly, initiates where necessary, documents and recommends appropriate written and verbal disciplinary action and commendations., • Analyze and assist in the resolution of work-related problems and diagnosis of malfunctions with machinery and equipment during shift., • Generate, as requested, input and track work orders delegated to staff in the Fleet Focus Maintenance Management System. Updates the daily, weekly, and monthly reports., • Assist in the development, monitoring, communicating, interpreting, and enforcing compliance of administrative and department policies, operating procedures, uniform, safety compliance, regulatory standards, clean-up procedures and quality control processes to ensure efficient daily operations and workflow., • Responsible for retrieving, issuing, and logging parts and supplies required for use by shift employees. Qualifications: Talent Requirements: • High School diploma or equivalent., • Five (5) to ten (10) years of experience or training in repair and preventive maintenance of fleet equipment., • At least five (5) years of supervisory experience or any combination of training and experience., • ASE certified to meet job classification. If not certified, must be willing to get certified., • Prior supervisory or lead experience--crews of six (6) or more., • Computer skills including word processing, spreadsheets, and MS Outlook., • Must possess a California Motor Vehicle Inspection License., • Must have a valid California Driver’s license. Starting pay rate: $45.74/hour MV Transportation is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, physical or mental disability, veteran or military status, genetic information or any other legally recognized protected basis under federal, state or local laws, regulations or ordinances. The information collected by this application is solely to determine suitability for employment, verify identity and maintain employment statistics on applicants. Where permissible under applicable state and local law, applicants may be subject to a pre-employment drug test and background check after receiving a conditional offer of employment. #appcast

Job DescriptionTITLE: MechanicPOSITION TYPE: Full Time, Non-ExemptCOMPANY: Sharks Sports and Entertainment, LLCLOCATION: Sharks Ice at San Jose – Building OpsREPORTS TO: Operations ManagerPOSTING DATED: June 4, 2026Pay Range: The pay range for this role is $27-28.50 per hour Position OverviewSharks Ice at San Jose is seeking a highly skilled, dependable, and hands-on Mechanic to support one of the largest and busiest ice rink facilities in the country. This position is responsible for the reliability, safety, and performance of all ice resurfacing equipment and related arena systems. The ideal candidate brings strong mechanical knowledge and expertise, excellent troubleshooting skills, and pride in doing things the right way. This position plays a critical role in maintaining a world-class facility with the best ice, staff training, equipment uptime, and overall facility operations. Essential Duties and Responsibilities:Perform safe operation, inspection, and maintenance of ice resurfacers, ice edgers, chippers, and related arena equipmentConduct and document routine preventative maintenance, including blade changes, oil changes, lubrication, and scheduled serviceDiagnose and repair mechanical, hydraulic, propane, electrical, and control system issuesExecute major and emergency repairs efficiently to minimize downtimeRespond to urgent equipment issues during off-hours as needed to support operationsMaintain parts inventory and orders critical parts & suppliesProvide initial and ongoing training for Ice Technicians on equipment operation, safety, and standard operating proceduresEstablish and maintain clear communication across Ice Technicians, Supervisors, and ManagementWork closely with management to develop action plans and ensure consistent execution of SOPsServe as Building Supervisor while on duty when required, supporting overall facility and event operationsDeliver professional, solutions-based service at all timesAssist with general facility maintenance and arena upkeep as neededEnsure compliance with safety policies, emergency procedures, and evacuation protocolsAnticipate mechanical issues and proactively recommend solutionsPerform additional duties as assigned to support rink operationsQualificationsValid California Driver's License3–5+ years of hands-on mechanical experience (industrial, heavy equipment, fleet, or facility maintenance preferred)Strong working knowledge of:Internal combustion engines (propane preferred)HydraulicsElectrical systems and diagnosticsAbility to troubleshoot independently and work effectively under pressureStrong communication skills and a team-first mindsetCertified Ice Technician (CIT) – US Rink Association (Preferred)Experience operating heavy equipment or warehouse machinery (Preferred)Physical RequirementsAbility to bend at the waist, reach overhead and lift up to 60 lbs with or without accommodationAbility to stand, walk, and work on concrete and ice surfaces for extended periods with or without accommodationAbility to crawl, reach and lay under ice resurfaces or other essential equipment with or without accommodationComfortable working in cold environmentsFlexibility to work extended hours including nights, weekends, and holidays as required by rink operations (all with advance notice)May be required to travel to other company locations What We OfferCompetitive compensationMedical/Dental/Vision/Flexible Spending Accounts (all LGBTQ+ friendly)Pretax Transportation Benefit401K (pre-tax and Roth options)Generous Paid Time Off PolicyMinimum of 10 Paid Holidays and Wellness Days per yearAn inclusive culture which values diversity of background and a passion to improve our SSE's commitment to change with impact on our community and industry.This position is not eligible for U.S. work authorization sponsorship. Summary:Born in 1991, Sharks Sports and Entertainment ("SSE") has grown into a multi-faceted organization that includes the SAP Center, the NHL San Jose Sharks, the AHL San Jose Barracuda, the Tech CU Arena, three Sharks Ice facilities, and the non-profit Sharks Foundation. Additionally, we are growing our organization through expansion in the Bay Area and surrounding communities in Northern California. We work and play in the Bay Area, and are deeply influenced by the technology, innovation, diversity, and commitment to excellence that surrounds us. Our culture is transforming to reflect those values, with an eye towards a pioneering, forward-thinking, and inclusive environment in sports and entertainment. We live, work, and innovate by a set of Pioneering Principles: T – Team success is more important than individual successE – Exceptional experience is non-negotiable in everything we doA – Appreciate others for their diversity and opinions M – More risk leads to more rewards and expands our comfort zones T – Trust that all teammates have the best intentionsE – Empower all teammates to make informed decisionsA – Always say what you really mean and do what you sayL – Lead by showing the respect to others you expect from them We strive to unite people through a shared love of ice sports, entertainment, and our hometown. We are #TealTogether. Our Commitment to Diversity, Inclusion & BelongingHere at Team Teal, we recognize and celebrate that individuals come with a wealth of experience and talent well beyond any list of required skills and qualifications – in fact, we believe diversity of backgrounds and skills, combined with passion, are the most important keys to meaningful innovation and excellence. Therefore, we encourage people from all backgrounds to apply to our positions. Please let us know if you require accommodations during the interview process. Equal Opportunity EmployerSharks Sports and Entertainment is an equal opportunity employer. We accept our responsibility to make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, gender expression, national origin, marital status, medical condition as defined by state law (genetic characteristics or cancer), physical or mental disability, military service or veterans' status, pregnancy, childbirth and related medical conditions, genetic information, or any other classification protected by applicable federal, state, and local laws and ordinances. Notice to Recruiters and AgenciesSSE recruits candidates directly, rather than through third-party recruiters or agencies. Under no circumstances will SSE pay a fee for candidates submitted or presented without a signed recruiting agreement in place between SSE and the recruiter or agency prior to the submittal; any submittal must be for requisition specifically and individually assigned in writing by SSE's HR department. In the case of candidate(s) submitted or presented to SSE by a recruiter or agency without a signed agreement AND written assignment by SSE Human Resources, SSE explicitly reserves the right to pursue and hire those candidate(s) with no financial obligation to the recruiter or agency. Job Posted by ApplicantPro

We are seeking an experienced Radiology Technologist specializing in X-ray imaging. In this role, you will perform diagnostic imaging procedures to assist physicians in diagnosing injuries or illnesses while ensuring patient safety and comfort. • Prepare patients for X-ray examinations by explaining the procedure and positioning them correctly., • Operate X-ray equipment to capture high-quality diagnostic images as per physician instructions., • Ensure radiation safety protocols are followed to protect patients, staff, and yourself from unnecessary exposure., • Collaborate with physicians to analyze imaging results for accurate diagnoses., • Maintain accurate records of procedures performed and ensure proper functioning of X-ray equipment through routine maintenance checks., • Work in hospitals, diagnostic imaging centers, or outpatient facilities equipped with advanced X-ray technology., • Engage in a fast-paced environment requiring attention to detail and technical expertise., • A competitive salary with comprehensive benefits options available., • A focus on professional growth through training opportunities and certifications support programs., • A supportive workplace culture that values collaboration and innovation in patient care delivery systems. This information is based on the Bureau of Labor Statistics (BLS). Actual job responsibilities may vary by location.

We are seeking an experienced Radiology Technologist specializing in X-ray imaging. In this role, you will perform diagnostic imaging procedures to assist physicians in diagnosing injuries or illnesses while ensuring patient safety and comfort. • Prepare patients for X-ray examinations by explaining the procedure and positioning them correctly., • Operate X-ray equipment to capture high-quality diagnostic images as per physician instructions., • Ensure radiation safety protocols are followed to protect patients, staff, and yourself from unnecessary exposure., • Collaborate with physicians to analyze imaging results for accurate diagnoses., • Maintain accurate records of procedures performed and ensure proper functioning of X-ray equipment through routine maintenance checks., • Work in hospitals, diagnostic imaging centers, or outpatient facilities equipped with advanced X-ray technology., • Engage in a fast-paced environment requiring attention to detail and technical expertise., • A competitive salary with comprehensive benefits options available., • A focus on professional growth through training opportunities and certifications support programs., • A supportive workplace culture that values collaboration and innovation in patient care delivery systems. This information is based on the Bureau of Labor Statistics (BLS). Actual job responsibilities may vary by location.

You will work closely with other physical therapists, occupational therapists, and medical staff to create a holistic approach to patient care. The Physical Therapist position focuses predominantly on orthopedic outpatient care. Complete Balance Physical Therapy Group is looking for a dedicated and

This environment promotes collaboration amongst a team of physical therapists, occupational therapists, and support staff, all working towards the common goal of enhancing patient outcomes. Familiarity with specialized treatment modalities, such as sports rehabilitation, post-surgical recovery, or m

Your role as a Physical Therapist will involve working closely with physicians, nursing staff, and other therapists, fostering a collegial environment where teamwork is paramount in addressing the diverse needs of our patients. The Move Well Clinic is seeking a dedicated and passionate Physical Ther

LifeWorks Restaurant Group crafts thoughtful, chef-led dining and hospitality experiences designed around the people and places we serve. From the first conversation, our teams work as true partners with our clients, shaping everything from the design of a space to the way the experience comes to life. We craft thoughtful, elevated experiences that leave people more inspired, more connected, and genuinely cared for. LifeWorks Restaurant Group is part of Aramark's Workplace Experience Group. Learn more at lifeworksrestaurantgroup.com. Imagination Well Served. #LifeWorksRestaurantGroup The Executive Chef is a management position overseeing chef managers as well as hourly culinary staff, responsible for developing and executing culinary solutions to meet customer needs and tastes. Offers a wide variety of culinary solutions to meet customer and client needs and tastes. Oversees and manages culinary operations to meet production, presentation, and service standards. Applies culinary techniques to food preparation and manages the final presentation and service of food. COMPENSATION: The Salaried rate for this position is $100,000.00 to $115,000.00. If both numbers are the same, that is the amount that Aramark expects to offer. This is Aramark's good faith and reasonable estimate of the compensation for this position as of the time of posting. BENEFITS: Aramark offers comprehensive benefit programs and services for eligible employees including medical, dental, vision, and work/life resources. Additional benefits may include retirement savings plans like 401(k) and paid days off such as parental leave and disability coverage. Benefits vary by location and are subject to any legal requirements or limitations, employee eligibility status, and where the employee lives and/or works. For more information about Aramark benefits, click here _ There is no predetermined application window for this position, the position will close once a qualified candidate is selected. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all applicable laws, including, but not limited to all applicable Fair Chance Ordinances and Acts. For jobs in San Francisco, this includes the San Francisco Fair Chance Ordinance. • Ensures culinary production appropriately connects to the Executional Framework, • Ensures proper culinary standards and techniques are in place for preparation of food items, including production, presentation, and service standards, • Manages a culinary team, including chef managers and hourly staff, to ensure quality in final presentation of food, • Train and manage culinary and kitchen employees to use best practice food production techniques, • Coach employees by creating a shared understanding about what needs to be achieved and how it is to be achieved, • Reward and recognize employees, • Plan and execute team meetings and daily huddles, • Complete and maintain all staff records including training records, shift opening/closing checklists and performance data, • Develop and maintain effective client and guest rapport for mutually beneficial business relationships, • Interact directly with guests daily, • Aggregate and communicate regional culinary and ingredient trends, • Responsible for delivering food and labor targets, • Consistent focus on margin improvement; understanding performance metrics, data, order, and inventory trends, • Ensure efficient execution and delivery of all culinary products in line with the daily menu, • Maintain integrity of the standard Aramark food offer; responsible for always maintaining food quality and safety of items, • Full compliance with Operational Excellence fundamentals: managing waste, standard menus, recipes and ingredients through managing customer driven menus and labor standards, • Understand end to end supply chain and procurement process and systems, ensuring only authorized suppliers are used, • Full knowledge and implementation of the Food Framework, • Ensure accuracy of estimated food consumption for appropriate requisitions and/or food purchase, • Ensure proper equipment operation and maintenance, • Ensure compliance with Aramark SAFE food and Quality Assurance standards, occupational and environmental safety policies in all culinary and kitchen operations, • Comply with all applicable policies, rules and regulations, including but not limited to those relating to safety, health, wage and hour At Aramark, developing new skills and doing what it takes to get the job done make a positive impact for our employees and for our customers. In order to meet our commitments, job duties may change or new ones may be assigned without formal notice.- Requires at least 4 years of culinary experience At least 2 years in a management role preferred Requires a culinary degree or equivalent experience Ability to multi-task Ability to simplify the agenda for the team Requires advanced knowledge of the principles and practices within the food profession. This includes experiential knowledge required for management of people and/or problems. Requires oral, reading, and written communication skills Our Mission Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet. At Aramark, we believe that every employee should enjoy equal employment opportunity and be free to participate in all aspects of the company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender, pregnancy, disability, sexual orientation, gender identity, genetic information, military status, protected veteran status or other characteristics protected by applicable law. About Aramark The people of Aramark proudly serve millions of guests every day through food and facilities in 15 countries around the world. Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet. We believe a career should develop your talents, fuel your passions, and empower your professional growth. So, no matter what you're pursuing - a new challenge, a sense of belonging, or just a great place to work - our focus is helping you reach your full potential. Learn more about working here at or connect with us on , and .

As a Neuron Collectives Software Developer, you will: • Enhance collective algorithms and topologies for optimal training performance, • Use tools like Neuron Explorer to identify bottlenecks in compute and bus bandwidth utilization, • Monitor and analyze processor, DMA, firmware, and workload metrics, • Optimize collective operations to scale AI compute across the data center through low level device driver development, • Work closely with the hardware team to co-optimize software and Trainium silicon, • Develop and optimize C/C++ implementations of collective communication patterns, • Investigate and implement improvements for specific training topologies used by modern LLMs, • Build and maintain analysis frameworks and automation solutions The role offers opportunities to work on cutting-edge AI training hardware while contributing to one of Amazon's most critical initiatives. A day in the life Annapurna Labs, a crucial part of AWS, is responsible for developing hardware and software components for EC2 infrastructure. Our team focuses on building networking solutions that for Machine Learning (ML) and High-Performance Computing (HPC) workloads on AWS. We have mixed discipline orgs, you’d be working side by side with infrastructure experts, hardware engineers, RTL engineers, scientists & architects. Our workforce spans the globe and is truly international, you’ll find yourself working side by side with individuals from numerous countries. We take mentorship seriously, you can both expect senior mentorship and will be expected to mentor new and junior engineers. The pace is fast as we work on the latest advancements of AI/ML, but we take the time to bond as a team and enjoy the successes. We offer flexibility in working hours, and respect WLB as a core org tenet. The team enjoys working with numerous principal-level engineers and closely with directors, career growth opportunities are certainly available. This is a role where you will always be encouraged to keep learning, the AI/ML field is fast moving and constantly evolving. About the team Annapurna Labs, part of AWS, created Trainium as a purpose-built AI training chip to revolutionize machine learning at Amazon scale. The Neuron Collectives team owns the software stack that enables collective operations — the communication primitives that allow AI training to scale across thousands of chips in the data center. Our work is essential to training the frontier models that power AI today. We work closely with hardware teams to extract maximum performance from Trainium, ensuring that compute and interconnect bandwidth are fully utilized. Our team sits at the intersection of hardware, firmware, and distributed systems. • 3+ years of non-internship professional software development experience, • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience programming with at least one software programming language, • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor's degree in computer science or equivalent 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually

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! https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html https://aws.amazon.com/machine-learning/neuron/ https://github.com/aws/aws-neuron-sdk https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success 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 A day in the life 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’ll also: Build high-impact solutions to deliver to our large customer base. Participate in design discussions, code review, and communicate with internal and external stakeholders. Work cross-functionally to help drive business decisions with your technical input. Work in a startup-like development environment, where you’re always working on the most important stuff. About the team Amazon Diverse Experiences values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Inclusive Team Culture Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 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. • 3+ years of non-internship professional software development experience, • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience programming with at least one software programming language, • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor's degree in computer science or equivalent 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually

Custom SoCs (System on Chips) are the brains behind AWS’s Machine Learning servers. Our team builds C++ & SystemC functional models of these custom-designed accelerator SoCs for use by AWS internal teams. We’re looking for a Senior SoC Modeling Engineer to join the team and deliver new functional models, infrastructure, and tooling for our customers. As part of the ML accelerator modeling team, you will: • Develop and own SoC functional models end-to-end, including model architecture, integration with other model or infrastructure components, testing, and debug, • Work closely with architecture, RTL design, design verification, emulation, and software teams to build, debug, and deploy your models, • Innovate on the tooling you provide to customers, making it easier for them to use our SoC models, • Drive model and modeling infrastructure performance improvements to help our models scale, • Develop software which can be maintained, improved upon, documented, tested, and reused Annapurna Labs, our organization within AWS, designs and deploys some of the largest custom silicon in the world, with many subsystems that must all be modeled and tested with high quality. Our SoC model is a critical piece of software used in both our SoC development process and by our partner software teams. You’ll collaborate with many internal customers who depend on your models to be effective themselves, and you'll work closely with these teams to push the boundaries of how we're using modeling to build successful products. You will thrive in this role if you: • Are an expert in functional modeling for SoCs, ASICs, TPUs, GPUs, or CPUs, • Are comfortable modeling in C++ or SystemC, and familiar with Python, • Enjoy learning new technologies, building software at scale, moving fast, and working closely with colleagues as part of a small team within a large organization, • Want to jump into an ML-aligned role, or get deeper into the details of ML at the hardware/system-level Although we are building machine learning chips, no machine learning background is needed for this role. This role spans modeling of the ML and management regions of our chips, and you’ll dip your toes into both. You’ll be able to ramp up on ML as part of this role, and any ML knowledge that’s required can be learned on-the-job. This role can be based in either Cupertino, CA or Austin, TX. The broader team is split between the two sites, with a slight preference for CA, due to colocation with more customer teams. We're changing an industry. We're searching for individuals who are ready for this challenge, who want to reach beyond what is possible today. Come join us and build the future of machine learning! About the team AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time 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. 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. • 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the servers that use them. As the Software Development Engineer for the Neuron Runtime Team, you will be responsible for working alongside a team of engineers to develop and maintain high-performance runtime libraries and drivers for machine learning applications and AI accelerators. You will work on design, development, and deployment of Neuron Runtime and other Neuron components. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior. Improving performance of ML Kernels and ML Frameworks. In this role, you will manage the full development life cycle of the Neuron Runtime, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler generates key information so customers can understand and optimize the performance of our custom hardware. Additionally, you will drive innovations that allow the profiler to support multiple frameworks, such as PyTorch, JAX, and XLA. A successful candidate will have experience in architecting, building, and operating distributed systems with a focus on high availability and fault tolerance, Hands-on experience with AWS services (e.g., EC2, ECS, CloudWatch, S3, Lambda) in production environments and track record in Owning services end-to-end including deployment, monitoring, alarming, on-call, and post-incident review. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. About the team 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. • 3+ years of non-internship professional software development experience, • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience programming with at least one software programming language, • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor's degree in computer science or equivalent 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

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 https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html https://aws.amazon.com/machine-learning/neuron/ https://github.com/aws/aws-neuron-sdk https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success 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, • 3+ years of non-internship professional software development experience, • 3+ 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., • 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually

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. You’ll provide leadership in the application of new technologies to large scale 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 relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our 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. Key job responsibilities • Drive block physical implementation through synthesis, floor planning, bus / pin planning, place and route, power/clock distribution, congestion analysis, timing closure, IR drop analysis, physical verification, ECO and sign-off, • Develop cloud infrastructure to support physical design work., • Drive improvement in RTL2GDS flows/methodology for PPA and TAT improvement., • Create Dashboard/central reports for project tracking and visualizing QoR/stats, • Interface directly with RTL, Package Design, DFT and other teams to improve methodologies and efficiencies and drive efforts to resolution., • Work with EDA tool vendors to evaluate new tools, solve bugs, improve usability, etc., • Bachelor's degree in Electrical Engineering or a related field, • Block Design using EDA tools (examples: Cadence, Mentor Graphics, Synopsys, or Others) including synthesis, equivalency verification, floor planning, bus / pin planning, place and route, power/clock distribution, congestion analysis, timing closure, IR drop analysis, physical verification, and ECO, • Deep understanding on sign-off activities (timing, ir/em, physical verification), • Expertise using CAD tools (examples: Cadence, Mentor Graphics, Synopsys, or Others) develop flows for synthesis, formal verification, floor planning, bus / pin planning, place and route, power/clock distribution, congestion analysis, timing closure, IR drop analysis, physical verification, and ECO, • 4+ years of integrating IP and ability to specify and drive IP requirements in the physical domain., • Experience in extraction of design parameters, QOR metrics, and analyzing trends, • Meets/exceeds Amazon’s leadership principles requirements for this role, • Meets/exceeds Amazon’s functional/technical depth and complexity for this role Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 157,300.00 - 212,800.00 USD annually USA, TX, Austin - 136,000.00 - 184,000.00 USD annually

We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators. Join us to optimize LLMs to run really fast on the Trainium hardware. As an SDM for the LLM Inference Model Enablement team, you will lead a team of expert AI/ML engineers to onboard and optimize state-of-the-art open-source and customer LLMs, both dense and MoE, for inference on Trainium accelerators. You will also drive improvements in model enablement speed and experience, while advancing inference usability and quality through inference features, infrastructure optimization, tools, and automation. The ideal candidate will have a strong background in LLM model architectures, model performance optimizations, and inference techniques, such as delivering high-performance models using distributed inference libraries. You should be capable of managing demanding, fast-changing priorities. You should have a strong technical ability to understand and deliver as part of a vertically integrated system stack consisting of the PyTorch inference library, Neuron compiler, runtime, and collectives. Key job responsibilities • 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 model performance to management A day in the life You will work with your senior management and technical leaders to define the model enablement and performance optimization for the latest SOTA LLMs, build and deliver them to customers. Meanwhile, lead the team to continue improving the model onboarding experience, as well as enhancing inference usability and quality for Neuron-supported models. You will manage changing priorities as new models and new technologies emerge, and you adapt your team’s work to manage them. You will dive deep to help your team solve technical challenges. • 3+ years of engineering team management experience, • 7+ years of working directly within engineering teams experience, • 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience, • Experience partnering with product or program management teams, • Experience in 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 212,700.00 - 287,700.00 USD annually

Do you like to apply deep hardware engineering expertise to deliver simple, sustainable, and scalable solutions for large networks? Would you like to play a key role in driving the stability and efficiency of next-generation network infrastructure, starting from the silicon up? 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. We are looking for a Sr. Cloud Hardware Development Engineer (CHDE) with mechanical engineering expertise to join our Network Product Development (NPD) team. In this role, you will enable the components that form the backbone of AWS network interconnect. You will perform high-quality design, development, validation, and sustaining engineering of component, modules, and systems for high-speed applications, working closely with design teams, manufacturing partners, and cross-functional stakeholders to deliver robust solutions at scale. Key job responsibilities Cloud Hardware Development Engineers (CHDE) with a mechanical engineering focus perform high quality mechanical design, thermal management, packaging, and design for manufacturing (DFM) of optical modules and systems for AWS networking. They work closely with design teams, manufacturing partners, and cross-functional stakeholders to deliver robust, manufacturable, and thermally optimized optical module solutions. • Collaborate with vendors/manufacturers to evaluate new mechanical and thermal design approaches, materials, and assembly processes for optical modules., • Develop and execute mechanical and thermal designs for optical modules and systems, including structural analysis, tolerance stack-up, and enclosure/housing design., • Perform thermal simulation and validation to ensure optical modules meet thermal performance requirements across all operating conditions., • Develop and automate test plans for structural verification, thermal characterization, mechanical reliability, and environmental qualification of optical modules., • Collaborate with vendors/manufacturers in defining and developing mechanical and thermal test plans to validate designs through prototyping and production., • Drive design for manufacturing (DFM) initiatives, working with operations teams to improve manufacturing yields, optimize assembly processes, and reduce cost., • Work with operations teams in identifying quality issues, improving manufacturing yields, and optimizing RMA processes for optical module hardware. A day in the life On an everyday basis as part of our team, you have the unique opportunity to understand the growing AWS network and our internal customers’ requirement on interconnect solutions and their components. You'll work backwards to devise hardware solutions by influencing the broad industry and/or to develop tools with sister teams to maintain a highly available network that delights AWS customers. You design and implement processes and mechanisms that both help the team to deliver business impact to the organization in a systemic way, while also helping to raise the bar on our operational excellence. Operating at the scale we do, there is no blueprint for how to do what we do, which encourages our engineers to identify and develop simple solutions to complex problems. We encourage durable solutions that look around corners while taking into consideration our customer needs from a cost, performance, and reliability perspective. About the team Within AWS Networking the NPD (Network Product Development) organization is responsible for, designing the hardware, building the software, and owning the interconnects for the routers that power the global AWS network. Beyond product delivery we actively manage the fleet or routers in a network that grows by 70% annually. This means tracking key business and operational metrics to ensure that we operate smoothly and minimize or eliminate customer impact due to device related issues for a transparent AWS customer experience. Working at AWS in the Core Networking Team • Meet Matt, VP, Core Networking --- https://youtu.be/DqTStjRtjX4, • Meet Kensie, Network Development Engineer --- https://youtu.be/ezF3kpUAhWU About AWS 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 (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. 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. EEO/Accommodations AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting please https://www.amazon.jobs/en/disability/us. • Bachelor's degree in Mechanical Engineering, Physics, Electrical/Electronic Engineering, or equivalent work experience., • 8+ years of work experience in mechanical design for hardware systems and components., • 8+ years of experience with thermal simulation and test validation., • 4+ years of experience developing and automating validation testbeds for thermal and mechanical characterization., • 4+ years of data analysis and presenting data-driven deep dives on thermal and mechanical design., • 2+ years of experience working on manufacturing processes and qualifications., • 1+ years of professional development experience with Python or a similar scripting language for automation scripting., • PhD in mechanical engineering, electrical engineering, material science, physics or equivalent, • In-depth expertise in optical module mechanical and thermal design and development., • Expertise in debugging and troubleshooting hardware., • Experience with thermal simulation tools (e.g., ANSYS Icepak, FloTHERM, COMSOL) and mechanical CAD tools (e.g., SolidWorks, Creo)., • Experience working with ODM and CM suppliers of optical modules., • Experience in the product development lifecycle., • Ability to innovate or invent hardware solutions to business problems. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 183,000.00 - 247,600.00 USD annually

Do you like to apply deep hardware engineering expertise to deliver simple, sustainable, and scalable solutions for large networks? Would you like to play a key role in driving the stability and efficiency of next-generation network infrastructure, starting from the silicon up? 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. We are looking for a Sr. Cloud Hardware Development Engineer (CHDE) with packaging expertise to join our Network Product Development (NPD) team. In this role, you will enable the components that form the backbone of AWS network interconnect. You will perform high-quality design, development, validation, and sustaining engineering of IC and SOC packages for high-speed applications, working closely with design teams, manufacturing partners, and cross-functional stakeholders to deliver robust solutions at scale. Key job responsibilities Key job responsibilities Packaging hardware development engineer (CHDE) perform high quality design, development, validation, deployment, and sustaining engineering of integrated circuit (IC) and system on chiop (SOC) packages for high-speed applications for AWS network. They work closely with design teams, manufacturing partners, and cross-functional stakeholders to deliver robust packaging and integated solutions. • Collaborate with vendors/manufacturers to evaluate new packaging technologies (IC and SOC), materials, and assembly processes. Create implementation plans for incorporating them into product roadmaps., • Develop and automate test plans for package characterization including signal integrity, power integrity, thermal performance, and mechanical reliability., • Collaborate with vendors/manufacturers in defining and developing test plans for IC/SOC packages, substrates, and interconnect technologies., • Work with operations teams in identifying quality issues, improving manufacturing yields, and optimizing RMA processes for packaged components. A day in the life On an everyday basis as part of our team, you have the unique opportunity to understand the growing AWS network and our internal customers’ requirement on interconnect solutions and their components. You'll work backwards to devise hardware solutions by influencing the broad industry and/or to develop software tools with sister teams to maintain a highly available network that delights AWS customers. You design and implement processes and mechanisms that both help the team to deliver business impact to the organization in a systemic way, while also helping to raise the bar on our operational excellence. Operating at the scale we do, there is no blueprint for how to do what we do, which encourages our engineers to identify and develop simple solutions to complex problems. We encourage durable solutions that look around corners while taking into consideration our customer needs from a cost, performance, and reliability perspective. About the team Within AWS Networking the NPD (Network Product Development) organization is responsible for, designing the hardware, building the software, and owning the interconnects for the routers that power the global AWS network. Beyond product delivery we actively manage the fleet or routers in a network that grows by 70% annually. This means tracking key business and operational metrics to ensure that we operate smoothly and minimize or eliminate customer impact due to device related issues for a transparent AWS customer experience. Working at AWS in the Core Networking Team • Meet Matt, VP, Core Networking --- https://youtu.be/DqTStjRtjX4, • Meet Kensie, Network Development Engineer --- https://youtu.be/ezF3kpUAhWU About AWS 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 (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. 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. EEO/Accommodations AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting please https://www.amazon.jobs/en/disability/us. • Bachelor's degree or above in mechanical engineering, electrical engineering, materials science, or physics, • 8+ years of work experience on IC/SOC packaging design, development, or validation, • 8+ years of experience with high-speed signal integrity principles, transmission line theory, and package electrical modeling, • 2+ years of experience working with IC/SOC packaging suppliers, substrate manufacturers, assembly houses, and qualification processes, • 1+ years of automation scripting using Python, Bash, Shell and/or Matlab, • Ph.D. in mechanical engineering, electrical engineering, material science, physics or equivalent, • In depth expertise in IC/SOC package design including mechanical stress analysis, thermal management, and reliability engineering, • Expertise in debugging and troubleshooting package-level failures and signal integrity issues, • Experience working with OSAT (Outsourced Semiconductor Assembly and Test) and substrate suppliers, • Experience in the semiconductor product development lifecycle, • Ability to innovate or invent packaging solutions to meet performance, cost, and reliability requirements 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 183,000.00 - 247,600.00 USD annually

AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds virtual platforms — full-system C++ and SystemC models of these custom SoCs — that let software teams start development months before silicon arrives. For Trainium3, our virtual platform enabled running a full training workload within 12 hours of first silicon. We're looking for a software engineer to build and own the models and infrastructure that make this possible. What you'll do: • Build and own functional models of SoC subsystems that integrate into our full-system virtual platform, used by firmware, driver, runtime, and application software teams, • Develop and improve the virtual platform infrastructure: QEMU integration, simulation performance, build and release tooling, and customer-facing documentation, • Design models for usability and performance — your customers are software engineers who need to run real workloads on your platform efficiently, • Develop and improve the virtual platform infrastructure: QEMU integration, simulation performance, build and release tooling, and customer-facing documentation, • Work with software teams (your primary customers) to understand their workflows, debug issues on the platform, and shape the model to maximize their productivity, • Drive simulation performance improvements so the platform can handle increasingly complex workloads at scale, • Contribute to model architecture decisions — choosing the right level of abstraction and fidelity for each subsystem based on customer needs Why this role is interesting: • You'll own a product that software teams across AWS depend on — they literally can't start development without your virtual platform, • The engineering challenges are genuinely interesting: full-system simulation, multi-subsystem integration, QEMU development, performance optimization at scale, • You'll see the direct impact of your work when software teams hit the ground running on new silicon, • As the team grows, there's a path into architectural modeling — using the platform to explore design alternatives and influence chip architecture, • Small team, startup pace, big impact inside AWS's custom silicon org You will thrive in this role if you: • Have built functional models, virtual platforms, or system-level simulations for SoCs, ASICs, GPUs, or CPUs, • Think of yourself as a software engineer first, with deep domain knowledge in chip architecture, • Are comfortable in C++ or SystemC, and familiar with Python for tooling, • Care about your customers' experience — you think about usability, documentation, and reliability, not just model accuracy, • Are interested in expanding into performance or architectural modeling as the team scales, • Enjoy working on a small, high-impact team where you own significant pieces of the stack No ML background needed. You'll learn the ML accelerator domain on the job. This role can be based in Cupertino, CA or Austin, TX. • 5+ years of non-internship professional software development 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, • 7+ years of non-internship professional experience writing functional or performance models, • Experience programming with C++ and/or SystemC, • Knowledge of SoC, CPU, GPU, and/or ASIC architecture and micro-architecture, • Bachelor's degree in computer science or equivalent, • Experience analyzing data and applying best practices to assess performance drivers, • Experience developing models that integrate with QEMU, • Experience developing and calibrating performance models for custom silicon chips, • Experience with PyTest and GoogleTest, • Familiarity with modern C++ (11, 14, etc.), • Experience in multi-threaded programming, • Experience with machine learning accelerator hardware and/or software 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually USA, TX, Austin - 168,100.00 - 227,400.00 USD annually

Annapurna Labs 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. AWS Neuron is the complete software stack for the AWS Trainium (Trn1/Trn2) and Inferentia (Inf1/Inf2) our cloud-scale Machine Learning accelerators. This role is for a Senior Machine Learning Engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more. The ML Distributed Training team works side by side with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with Trainium instances. Experience with training these large models using Python is a must. FSDP (Fully-Sharded Data Parallel), Deepspeed, Nemo and other distributed training libraries are central to this and extending all of this for the Neuron based system is key. Key job responsibilities You will lead efforts to build distributed training support into PyTorch and JAX using XLA, the Neuron compiler, and runtime stacks. You will optimize models to achieve peak performance and maximize efficiency on AWS custom silicon, including Trainium and Inferentia, as well as Trn2, Trn1, Inf1, and Inf2 servers. Strong software development skills, the ability to deep dive, work effectively within cross-functional teams, and a solid foundation in Machine Learning are critical for success in this role. About the team Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years. 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. • Bachelor's degree in computer science or equivalent, • 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, • Experience in machine learning, data mining, information retrieval, statistics or natural language processing, • Master's degree in computer science or equivalent, • Experience in computer architecture, • Previous software engineering expertise with Pytorch/Jax/Tensorflow, Distributed libraries and Frameworks, End-to-end Model Training. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually

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. We are seeking an experienced Sr. Physical Design STA Engineer to build the next generation of our cloud server platforms. Our success depends on our world-class 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. You’ll provide leadership in the application of new technologies to large scale 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 relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve our 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. Key job responsibilities • Develop & maintain flows for block and full-chip level static timing analysis, • Write, debug & validate timing constraints for blocks and full-chip., • Run Static Timing Analysis and give frequent feedback to team members and leads., • Provide guidance on how to fix timing issues (generate ECOs, fix constraint issues)., • Develop scripts to automate running timing analysis and generate reports., • Be a highly-valued member of our start-up like team through excellent collaboration and teamwork with other physical design engineers as well as with the RTL/Arch. teams 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. • Experience in scripting languages such as Perl, Python, or Javascript, • BS + 8yrs or MS + 6yrs or PhD + 4yr in EE/CS, • Expertise in timing analysis fundamentals, • 3+ years doing Static Timing Analysis, • 3+ years with timing constraint development, • Timing Analysis using EDA tools (examples: PrimeTime, Tempus, or others), • Understanding of ASIC Physical Design from RTL-to-GDSII, • Understanding of other sign-off activities (ir/em, physical verification, DFT), • Experience in mentoring, leading and coaching, • Expertise developing flows using STA tools (examples: PrimeTime, Tempus or others), • Expertise in ECO flows (examples: PT-DMSA, Tempus-ECO, Tweaker or others), • Experience in advanced nodes - 16nm or below, • Expertise in parasitic extraction tools (examples: STAR-RC, Quantus or others), • Expertise on circuit level analysis using tools like SPICE / SPECTRE, • Experience with timing of IO interfaces like DDR, HBM, PCIe, Die-to-Die 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 183,000.00 - 247,600.00 USD annually

Annapurna Labs 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. 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, Trainium Systems (our custom designed machine learning inference and training datacenter servers). 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 Physical Design Engineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs. Key job responsibilities • Drive full chip floorplan, placement, integration, PV signoff and tapeout, • Collaborate with FE team to understand RTL and drive physical aspects early in design cycle, • Define, execute and optimize next-generation physical verification and integration methodologies using industry-standard EDA tools (FC, Calibre, IC Validator), • Perform DRC (Design Rule Checking), LVS (Layout vs. Schematic), PERC (Programmable Electrical Rule Check) verification, • Debug and resolve physical verification issues in collaboration with layout and design teams, • Interface with foundries for MT form, rule deck updates and violation waivers; Develop and maintain verification runsets and methodologies, • Mentor junior engineers on physical verification methodologies and closure, • Experience scripting with Python, Perl, Bash or PowerShell, • BS + 10yrs or MS + 7yrs in EE/CS, or related field, • 5+ in physical verification for advanced technology nodes, • Design Flow Knowledge: Understanding of backend physical design flows for chip-top/subsystems (FC/Innovus), • Expert knowledge of industry-standard physical verification tools (Calibre, IC Validator, PVS), • Strong understanding of semiconductor manufacturing processes and design rules, • Proven track record of successful tape-outs, • Strong communication and collaboration abilities, • Experience in mentoring, leading, or managing more junior engineers, • Experience with integration and verification in advanced nodes [5nm or below], • Knowledge of custom and digital design flows, • Expertise with DFM (Design for Manufacturing) methodologies, • Expertise in reliability verification (ESD, EM, IR drop), • Experience solving physical design challenges across various technologies such as DDR, PCIe, fabrics etc., • Experience in extraction of design parameters, QOR metrics, and analyzing trends 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 183,000.00 - 247,600.00 USD annually USA, TX, Austin - 159,200.00 - 215,300.00 USD annually

Every token a large language model generates depends on data reaching the right accelerator at the right moment. As AI models outgrow any single chip, the network between accelerators becomes the bottleneck that decides how fast — and how affordably — the world's largest models can serve real users. That network layer is what our team builds. We're looking for an engineer to work at the frontier of disaggregated inference: splitting LLM serving into separate prefill and decode pools and moving the model's KV cache between them at the limit of what the hardware allows. Get it right and users get answers in milliseconds; get it wrong and the fastest accelerators in the world sit idle waiting on data. You'll build components of the high-speed transfer path that make that difference, and you'll learn to measure success in how close we run to the theoretical peak of the machine. In this role you will: Build and optimize the low-level data-movement software that transfers KV cache and activations across accelerators, servers, and heterogeneous memory — over AWS's highest-performance network fabric. Profile real workloads, find the true bottleneck, and close the gap between "it works" and "it runs fast" — pushing components toward the hardware's limit. Work across the stack — from network transport up to the inference frameworks — learning from the teams building the chips, runtime, and models. Deliver features that ship to our largest clusters, for our largest customers, serving the largest AI models in production. What we're looking for: Strong C/C++ and a genuine interest in low-level, performance-critical systems — solid command of Linux, memory, and writing fast code. The instinct to ask "how fast could this go?" and the discipline to measure it. Exposure to high-speed networking, HPC interconnects, or GPU/accelerator systems (RDMA, InfiniBand, libfabric, UCX, NCCL, MPI) is a strong plus; embedded-systems experience is welcome. Prior AI/ML experience is not required — if you're a strong systems engineer eager to learn, we'll teach you the ML side. If you like solving genuinely hard problems, working alongside HPC and ML customers, iterating fast, and shipping at a scale few places can offer, come join us. You'll work alongside senior engineers and Principal Engineers who've built this layer from the ground up, with real room to grow your scope and technical depth — on a team at the leading edge of AI/ML infrastructure. About the team: You'd be joining Annapurna Labs, an integral part of AWS. Annapurna designs the hardware and software building blocks behind EC2 — every EC2 instance runs on hardware we designed. We specialize in the chips, systems, and software that optimize the AWS customer experience, and this team sits where AI meets the silicon and the network underneath it. A day in the life Annapurna Labs, a crucial part of AWS, is responsible for developing hardware and software components for EC2 infrastructure. Our team focuses on building networking solutions that for Machine Learning (ML) and High-Performance Computing (HPC) workloads on AWS. We have mixed discipline orgs, you’d be working side by side with infrastructure experts, hardware engineers, RTL engineers, scientists & architects. Our workforce spans the globe and is truly international, you’ll find yourself working side by side with individuals from numerous countries. We take mentorship seriously, you can both expect senior mentorship and will be expected to mentor new and junior engineers. The pace is fast as we work on the latest advancements of AI/ML, but we take the time to bond as a team and enjoy the successes. We offer flexibility in working hours, and respect WLB as a core org tenet. The team enjoys working with numerous principal-level engineers and closely with directors, career growth opportunities are certainly available. This is a role where you will always be encouraged to keep learning, the AI/ML field is fast moving and constantly evolving. 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 (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. • 3+ years of non-internship professional software development experience, • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience programming with at least one software programming language, • Experience with C/C++, • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor's degree in computer science or equivalent 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually

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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually

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! https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html https://aws.amazon.com/machine-learning/neuron/ https://github.com/aws/aws-neuron-sdk https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success 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 Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Inclusive Team Culture Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 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. • 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trainium-based servers that use them. As the SDM of Software Development for the Neuron Training team, you will be responsible for leading a strong team of engineers and managers to help design and deploy these new products. A successful candidate will have an established background in developing Machine Learning products with direct customer-facing experience, a strong technical ability and a motivation to achieve results. Experience in Machine Learning and software development is also a must. Responsible for the full development life cycle of our integrations and extensions for training support in Pytorch, JAX, and distributed training libraries with a focus on performance of latest ML models at scale on Trainium using latest techniques in performance optimization, accuracy, and resilience. you will lead the way to ensure support for key ML functionality in a combined chip / software platform, which will ensure the right thing is being built and delivered to customers Key job responsibilities • Lead a team of engineers focused on enabling new ML training customers on the Neuron SDK / Trainium platform., • Own the customer onboarding journey from model evaluation through production training at scale, • Drive engineering initiatives to maximize Model FLOPS Utilization (MFU) for customer workloads through performance analysis, profiling, and tuning tools., • Build and maintain tooling, automation, and documentation that accelerates time-to-first-training for new customer models., • Partner with compiler, runtime, and framework teams to identify and resolve blockers in customer workloads., • Develop scalable processes for distributed training enablement (FSDP, DeepSpeed, Megatron, custom parallelism strategies)., • Drive technical strategy for supporting frontier model architectures (LLMs, MoE, multi-modal) on Trainium., • Build strong cross-functional partnerships with product management, developer relations, and customer-facing teams., • Recruit, mentor, and grow a high-performing team of ML systems engineers. A day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale. About the team About Us 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. • Experience working with PyTorch or JAX software, • 3+ years of engineering team management experience, • 7+ years of working directly within engineering teams experience, • 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience, • Experience partnering with product or program management teams, • 3+ years of experience in deep learning / machine learning, including model training workflows, • Experience with distributed training at scale (multi-node, multi-accelerator), • Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, • Experience directly managing scientists or machine learning engineers, • Experience debugging, profiling, and implementing best software engineering practices in large-scale systems, • Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience with CUDA kernels or ML/low-level kernels, • Experience with performance analysis, profiling, and optimization for deep learning training workloads 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 212,700.00 - 287,700.00 USD annually

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the trn and inf servers that use them. This position is for a Software Engineer that will lead the development of various services that will aid in optimization, analysis and release of machine learning workloads and artifacts. This candidate must have had experience leading distributed systems and machine learning related projects, preferably starting from architecture through several generations of delivery to customers. Deep knowledge of optimization, resource management, scheduling are needed. The ideal candidate will have experience working on services like EC2, EKS, Lambda in AWS or similar services on other cloud providers. Key job responsibilities • This engineer will lead the design and implementation of new tools, pipelines and automation, will work with developers, system architects, hardware engineers and users both within and external to Amazon to ensure compatibility of this new toolset with existing and next-generation AI accelerators., • Design, implement, and maintain CI/CD pipelines to automate the software release process., • Collaborate with development teams to integrate new software releases., • Infrastructure Management: Manage and automate infrastructure provisioning. Ensure high availability and scalability of systems through effective infrastructure management. • Monitoring and Optimization: Implement monitoring solutions to track system performance. Identify bottlenecks and optimize system performance. • Security and Compliance: Implement security best practices in the DevOps pipeline. Conduct regular vulnerability assessments and risk management. A day in the life 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’ll also: • Build high-impact solutions to deliver to our large customer base., • Participate in design discussions, code review, and communicate with internal and external stakeholders., • Work cross-functionally to help drive business decisions with your technical input., • Work in a startup-like development environment, where you’re always working on the most important stuff. About the team The Neuron Infra Services 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. • 3+ years of non-internship professional software development experience, • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience programming with at least one software programming language, • Knowledge of system performance, memory management, and parallel computing principles, • Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems, • Experience with AWS or cloud technologies, • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Bachelor's degree in computer science or equivalent, • Knowledge of fundamentals of networking, security, databases (relational or NoSQL), operating systems (Unix, Linux, and/or Windows), • Fundamentals of Machine learning and LLMs, their architecture along with work experience on certain LLM models. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually

Annapurna Labs stands at the forefront of hardware/software co-design, leading innovation not just within Amazon Web Services (AWS) but across the entire industry. We design and build every component of our hardware and software to create best-in-class machine learning products that accelerate customer workloads through industry leading hardware using our custom silicon solutions. If you're passionate about building the highest-performing, hardware-accelerated Machine Learning systems and want to be part of the entire journey from pre- through post-silicon development, Annapurna Labs offers an exceptional career opportunity. Join us in shaping the future of AI acceleration At the heart of AWS Machine Learning servers reside our custom Amazon-designed silicon that powers next-generation machine learning capabilities for our customers. We're seeking an experienced C/C++ engineer to join our embedded software team, where you'll develop bare metal firmware that drives neural network model execution across our custom ASIC-based ML Accelerator chips. Working at the intersection of hardware and software, you'll collaborate closely with our architecture and design teams to design and implement firmware and custom hardware that enables machine learning within our accelerator chips. Our mission is ambitious: to democratize access to industry-leading ML infrastructure and make deep learning capabilities accessible to everyday software developers. From the ground up, you'll help design and build the foundation that makes this vision possible. The Annapurna Labs team operates with the agility and culture of a startup, but with the full weight of Amazon behind us and we invite you visit the link below for a glimpse inside our labs to see exactly the incredible technology and people you will work with at Annapurna Labs! https://www.aboutamazon.com/news/aws/take-a-look-inside-the-lab-where-aws-makes-custom-chips This is a fast-paced, challenging position, where 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 our products' performance, quality, and cost. We're searching for individuals who want to reach beyond what is possible today and change an industry. No prior ML knowledge is required for this role and you will learn about the inner workings of ML and our custom ML accelerators as part of your onboarding. Key job responsibilities • Applying Software/Hardware co-design principles, • Embedded software design, implementation, testing, debugging and performance improvements, • Test suite and infrastructure design, • Owning the design and final implementation of maintainable, documented and well tested software, • Close collaboration with RTL designers, design verification engineers, and other software teams, • Team tech lead for best practices, computer architecture and software design choices, • Mentor, coach and set technical direction for other software Engineers, • 7+ years of programming with at least one software programming language experience, • 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience in embedded development in C/C++, • Experience as a mentor, tech lead or leading an engineering team, • Bachelor's degree in computer science or equivalent, • Experience writing firmware or bare metal software using C/C++, • Experience in Hardware/Software co-design, • Experience with Hardware-In-The-Loop testing, • Background in Computer Architecture and 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually

AWS Networking builds the infrastructure that powers every customer workload in the cloud. We are seeking a hands-on Software Development Manager to lead the ENA Express team. ENA Express is a next-generation EC2 networking feature that leverages the Scalable Reliable Datagram (SRD) protocol — developed by AWS — to deliver industry-leading networking performance: dramatically lower tail latency, higher bandwidth utilization, and consistent packet delivery at scale. Key job responsibilities • The team under your leadership will design and develop features across the AWS Networking software stack on Nitro Cards., • Together with the team you'll deep-dive into ENA Express and the underlying SRD protocol and L3/L4 networking to optimize packet delivery, reduce tail latency, and improve bandwidth utilization., • You'll collaborate with hardware and firmware partners to define software/hardware interfaces and surface programmable capabilities to the software layer, • You'll partner with EC2 platform and service teams to integrate ENA Express features into the broader AWS networking ecosystem, • You'll mentor junior and mid-level engineers, lead design reviews, and champion engineering best practices across the team -You'll drive operational excellence: build observability, contribute to on-call health, and lead incident response and post-mortems About the team The organization you would be joining is Annapurna Labs, an integral part of AWS that develops hardware and software components that are critical building blocks for EC2 infrastructure. Every instance in EC2 is running some type of hardware designed by Annapurna Labs. We specialize in designing software, systems, and chips that optimize the AWS customer experience. • 3+ years of engineering team management 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, • 3+ years of C or C++ or Rust development experience, • 5+ years of hands-on engineering experience, maintaining active programming proficiency, • Hands-on experience with Network packet processing, embedded environment (on NIC development), • 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 212,700.00 - 287,700.00 USD annually

We are seeking an experienced engineer and technical leader to join our team that owns the network stack for EC2 distributed AI/ML systems. The team develops support for a variety of frameworks and communication libraries including NCCL, NVSHMEM, NIXL, NCCL GIN, and CUDA kernels. Solid knowledge of Linux, networking, and performant coding is important. Experience with embedded systems is valued, and experience with high-speed networking or HPC/RDMA interconnects is highly valued. If you like solving hard problems, want to work with HPC and ML customers, iterate fast and deliver meaningful solutions at scale, then come join us! This truly is a role at the forefront of AI/ML—you'll be working on features for the largest clusters, with the largest customers, for the largest AI models. The organization you would be joining is Annapurna Labs, an integral part of AWS that develops hardware and software components that are critical building blocks for EC2 infrastructure. Every instance in EC2 is running some type of hardware designed by Annapurna Labs. We specialize in designing software, systems, and chips that optimize the AWS customer experience. Key job responsibilities Be the Leader which works across the NVIDIA ML communication stack for enabling NVIDIA GPUs to work with the AWS EC2 machines. Knowledge of ML Networking, ML applications, and frameworks will be highly regarded. You'll be leading senior, mid-level, and junior SDEs and directing work to ensure the team delivers functions and features required for the latest and largest ML workloads. Come be a part of an organization that has developed some of the foundational technologies in AWS and EC2. Annapurna Labs' inventions are routinely mentioned in keynotes and all of re:Invent. Do you recognize Nitro, Trainium, EFA, ENA-X, Inferentia, Graviton? Join us and help create the future. We are seeking Senior SDE's interested in moving to an SDM role after ramp. 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 Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. 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. • 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, or experience in development in the last 3 years, • 5+ years of experience with programming language: C or C++, • Bachelor's degree in computer science or equivalent, • Experience working with ML Communication Libraries or RDMA Networking 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually

AWS Networking builds the infrastructure that powers every customer workload in the cloud. ENA Express is a next-generation EC2 networking feature that leverages the Scalable Reliable Datagram (SRD) protocol — developed by AWS — to deliver industry-leading networking performance: dramatically lower tail latency, higher bandwidth utilization, and consistent packet delivery at scale. We are looking for a Software Development Engineer to join the ENA Express team. You will design, build, and own features across the full ENA Express software stack: Firmware on the Nitro-Card, user-space libraries, control plane components, and the performance analytics systems that help our customers get the most out of their network. This is high-ownership work — your code runs on a fleet of millions of EC2 instances, supporting customers who demand the absolute best from their network. Key job responsibilities • Design and develop features across the AWS Networking software stack on Nitro Cards., • Deep-dive into ENA Express and the underlying SRD protocol and L3/L4 networking to optimize packet delivery, reduce tail latency, and improve bandwidth utilization., • Collaborate with hardware and firmware partners to define software/hardware interfaces and surface programmable capabilities to the software layer, • Partner with EC2 platform and service teams to integrate ENA Express features into the broader AWS networking ecosystem, • Drive operational excellence: build observability, contribute to on-call health, and lead incident response and post-mortems About the team We are a team of senior engineers with deep expertise in systems software, networking protocols, and EC2 infrastructure. Our work spans the full stack — from the Firmware on the driver Card, and NIC driver layer up through the EC2 control plane — and we collaborate closely with hardware, firmware, and platform partners. We care deeply about technical craft, operational quality, and each other’s growth. • 2+ years of non-internship professional software development experience, • Bachelor's degree in computer science or equivalent, • Background in systems programming (C / C++) in performance-critical, production environments, • Experience in Linux and Networking protocols, or experience in Linux OS and network troubleshooting, • Experience in Linux and Networking protocols, or experience in Network protocols like DNS/DHCP/TCP and experience that includes strong analytical skills, attention to detail, and effective communication abilities, • Experience with virtualization (Hypervisors, VMware, Xen), or experience in managing and troublshooting network and experience in Network protocols like DNS/DHCP/TCP, • Experience working with software teams to tightly define the HW/SW interface, including control/status registers and error handling 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually

Custom SoCs (System on Chips) are the brains behind AWS’s Machine Learning servers. Our team builds C++ & SystemC functional models of these custom-designed accelerator SoCs for use by AWS internal teams. We’re looking for a Senior SoC Modeling Engineer to join the team and deliver new functional models, infrastructure, and tooling for our customers. As part of the ML accelerator modeling team, you will: • Develop and own SoC functional models end-to-end, including model architecture, integration with other model or infrastructure components, testing, and debug, • Work closely with architecture, RTL design, design verification, emulation, and software teams to build, debug, and deploy your models, • Innovate on the tooling you provide to customers, making it easier for them to use our SoC models, • Drive model and modeling infrastructure performance improvements to help our models scale, • Develop software which can be maintained, improved upon, documented, tested, and reused Annapurna Labs, our organization within AWS, designs and deploys some of the largest custom silicon in the world, with many subsystems that must all be modeled and tested with high quality. Our SoC model is a critical piece of software used in both our SoC development process and by our partner software teams. You’ll collaborate with many internal customers who depend on your models to be effective themselves, and you'll work closely with these teams to push the boundaries of how we're using modeling to build successful products. You will thrive in this role if you: • Are an expert in functional modeling for SoCs, ASICs, TPUs, GPUs, or CPUs, • Are comfortable modeling in C++ or SystemC, and familiar with Python, • Enjoy learning new technologies, building software at scale, moving fast, and working closely with colleagues as part of a small team within a large organization, • Want to jump into an ML-aligned role, or get deeper into the details of ML at the hardware/system-level Although we are building machine learning chips, no machine learning background is needed for this role. This role spans modeling of the ML and management regions of our chips, and you’ll dip your toes into both. You’ll be able to ramp up on ML as part of this role, and any ML knowledge that’s required can be learned on-the-job. This role can be based in either Cupertino, CA or Austin, TX. The broader team is split between the two sites, with a slight preference for CA, due to colocation with more customer teams. We're changing an industry. We're searching for individuals who are ready for this challenge, who want to reach beyond what is possible today. Come join us and build the future of machine learning! About the team AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cutting-edge cloud computing offerings across the AWS portfolio. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time 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. 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. • 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually

Annapurna Labs is an integral part of AWS and develops hardware and software components that are critical building blocks for EC2 infrastructure. We specialize in designing software, systems and chips that optimize the AWS customer experience. The AWS Neuron Collectives team is seeking a Software Engineer to optimize collective operations for AWS Trainium. Trainium is one of Amazon's highest priority initiatives, powering the frontier AI models being trained today. Collectives are the critical operations that scale AI compute across the data center. You'll work in depth to optimize compute for the specific topologies used to train modern LLMs. Working closely with the hardware team, you'll push for maximum performance using C/C++, interfacing with DMA and firmware and investigating detailed topologies. You'll analyze current collective algorithms using publicly accessible tools like Neuron Explorer and optimize these to fully utilize compute and bus bandwidth to scale across the data center. This is a unique opportunity to impact how AI training runs at AWS scale, while growing your technical breadth and depth. Key job responsibilities As a Neuron Collectives Software Developer, you will: • Enhance collective algorithms and topologies for optimal training performance, • Use tools like Neuron Explorer to identify bottlenecks in compute and bus bandwidth utilization, • Monitor and analyze processor, DMA, firmware, and workload metrics, • Optimize collective operations to scale AI compute across the data center, • Work closely with the hardware team to co-optimize software and Trainium silicon, • Develop and optimize C/C++ implementations of collective communication patterns, • Investigate and implement improvements for specific training topologies used by modern LLMs, • Build and maintain analysis frameworks and automation solutions The role offers opportunities to work on cutting-edge AI training hardware while contributing to one of Amazon's most critical initiatives. A day in the life 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. About the team Annapurna Labs, part of AWS, created Trainium as a purpose-built AI training chip to revolutionize machine learning at Amazon scale. The Neuron Collectives team owns the software stack that enables collective operations — the communication primitives that allow AI training to scale across thousands of chips in the data center. Our work is essential to training the frontier models that power AI today. We work closely with hardware teams to extract maximum performance from Trainium, ensuring that compute and interconnect bandwidth are fully utilized. Our team sits at the intersection of hardware, firmware, and distributed systems. • Bachelor's degree in computer science or equivalent, • 5+ years of Experience building complex software systems that have been successfully delivered to customers, • 5+ years of Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems, • Master's degree in computer science or equivalent, • Familiarity with collective communication algorithms (e.g., all-reduce, all-gather) or distributed training frameworks 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually

The MLIL DataPlane team is looking for a Software Development Engineer to own the design and implementation of our inference data plane. We build the software that makes large models run efficiently on custom hardware - spanning model execution, memory management, data movement, and serving integration. Our work covers the full inference path: integrating serving engines with custom hardware, developing high-performance compute kernels, enabling efficient data movement, and driving models from early validation through production. We operate at frontier scale with large distributed models. This is a ground-up effort with rapidly evolving hardware and software. We are looking for an individual contributor who can write and optimize low-level code for custom hardware, validate model architectures end-to-end, build test and profiling infrastructure, and drive performance across the stack. Key job responsibilities • Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference., • Implement and validate LLM architectures end-to-end - from PyTorch model definition through distributed execution on custom hardware., • Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler extensions, memory management, and model parallelism., • Build and maintain test infrastructure for model correctness validation across CPU, GPU, simulator, and hardware targets., • Profile and optimize inference workloads - identify bottlenecks, instrument critical paths, and drive latency and throughput improvements from simulation through hardware bring-up., • Own features end-to-end: from design through implementation, testing, and integration into the broader software stack., • Contribute to CI/CD pipelines that gate model and kernel changes on correctness and performance regressions., • Bachelor's degree or equivalent, • 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience, • Knowledge of computer architecture, operating systems, and parallel computing, • Knowledge of Linux fundamentals, • Strong proficiency in C/C++, • Experience developing compute kernels for GPUs, DSPs, or custom accelerators, • Proven track record of owning and delivering complex software features end-to-end, • Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques, • Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT, • Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, • Experience with distributed systems - collective communication, RDMA, or high-speed interconnect programming, • Experience with hardware simulation environments and model validation workflows, • Demonstrated early adopter of AI-assisted development tools - uses LLMs or code-generation agents as part of daily workflow 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually

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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 183,000.00 - 247,600.00 USD annually USA, TX, Austin - 159,200.00 - 215,300.00 USD annually

Every token a large language model generates depends on data reaching the right accelerator at the right moment. As AI models outgrow any single chip, the network between accelerators becomes the bottleneck that decides how fast — and how affordably — the world's largest models can serve real users. That network layer is what our team builds. We're looking for an engineer to work at the frontier of disaggregated inference: splitting LLM serving into separate prefill and decode pools and moving the model's KV cache between them at the absolute limit of what the hardware allows. Get it right and users get answers in milliseconds; get it wrong and the fastest accelerators in the world sit idle waiting on data. You'll own pieces of the high-speed transfer path that make the difference, and you'll measure your success in how close you run to the theoretical peak of the machine. In this role you will: Build and optimize the low-level data-movement software across accelerators, servers, and heterogeneous memory — over AWS's highest-performance network fabric. Push performance to the hardware roofline: profile, find the real bottleneck, and close the gap between "it works" and "it runs as fast as physics permits." Work across the stack — from kernel and network transport up to the inference frameworks — and partner with teams building the chips, runtime, and models. Deliver features that run on our largest clusters, for our largest customers, serving the largest AI models in production. What we're looking for: Strong C/C++ and a love for low-level, performance-critical systems — solid command of Linux, kernels, memory, and writing fast code. The instinct to ask "how fast could this possibly go?" and the rigor to measure it. Experience with high-speed networking or HPC interconnects (RDMA, InfiniBand, libfabric, UCX, NIXL, MPI) is valued highly; embedded-systems experience is a plus. Prior AI/ML experience is welcome but not required — if you're a great systems engineer, we'll teach you the ML side. If you like solving genuinely hard problems, working shoulder-to-shoulder with HPC and ML customers, iterating fast, and shipping at a scale few places can offer, come join us. This is a role on the leading edge of AI/ML infrastructure. About the team: You'd be joining Annapurna Labs, an integral part of AWS. Annapurna designs the hardware and software building blocks behind EC2 — every EC2 instance runs on hardware we designed. We specialize in the chips, systems, and software that optimize the AWS customer experience, and this team sits where cutting-edge AI meets the silicon and the network underneath it. A day in the life Annapurna Labs, a crucial part of AWS, is responsible for developing hardware and software components for EC2 infrastructure. Our team focuses on building networking solutions that for Machine Learning (ML) and High-Performance Computing (HPC) workloads on AWS. We have mixed discipline orgs, you’d be working side by side with infrastructure experts, hardware engineers, RTL engineers, scientists & architects. Our workforce spans the globe and is truly international, you’ll find yourself working side by side with individuals from numerous countries. We take mentorship seriously, you can both expect senior mentorship and will be expected to mentor new and junior engineers. The pace is fast as we work on the latest advancements of AI/ML, but we take the time to bond as a team and enjoy the successes. We offer flexibility in working hours, and respect WLB as a core org tenet. The team enjoys working with numerous principal-level engineers and closely with directors, career growth opportunities are certainly available. This is a role where you will always be encouraged to keep learning, the AI/ML field is fast moving and constantly evolving. • 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, • Must have C/C++ Coding Experience, • Bachelor's degree in computer science or equivalent, • ML Communications (NCCL, NIXL, NVSHMEM) 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 193,300.00 - 261,500.00 USD annually

Do you want to be part of AI revolution? At Amazon our vision is to make deep learning pervasive for everyday developers and to democratize access to AI hardware and software infrastructure. In order to deliver on that vision, we’ve created innovative software and hardware solutions that make it possible. AWS Neuron is the SDK that optimizes the performance of complex ML models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads. This role is for a software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML models written in ML frameworks (e.g, PyTorch, TensorFlow, and JAX) to be deployed AWS Inferentia and Trainium based servers in the Amazon cloud. You will be responsible for solving hard compiler optimization problems to achieve optimum performance for variety of ML model families including massive scale large language models like Llama, Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models. You will be required to understand how these models work inside-out to make informed decisions on how to best coax the compiler to generate optimal implementation instruction. You will leverage your technical communications skill to partner with internal and external customers/stakeholders and will be involved in pre-silicon design, bringing new products/features to market, ultimately, making Neuron compiler highly performant and easy-to-use. Experience in object-oriented languages like C++/Java is a must, experience with compilers or building ML models using ML frameworks on accelerators (e.g., GPUs) is preferred but not required. Experience with technologies like OpenXLA, StableHLO, MLIR will be added bonus! Explore the product and our history! https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index htmlhttps://aws.amazon.com/machine-learning/neuron/ https://github.com/aws/aws-neuron-sdk https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success 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. Key job responsibilities You will design, implement, test, deploy and maintain innovative software solutions to transform Neuron compiler’s performance, stability and user-interface. You will work side by side with chip architects, runtime/OS engineers, scientists and ML Apps teams to seamlessly deploy state of the art ML models from our customers on AWS accelerators with optimal cost/performance benefits. You will have opportunity to work with open-source software (e.g., StableHLO, OpenXLA, MLIR) to pioneer optimizing advanced ML workloads on AWS software and hardware. You will also work on building innovative features that will deliver best possible experiences for our customers – developers across the globe. A day in the life As you design and code solutions to help our team drive efficiencies in compiler architecture, you’ll create compiler optimization and verification passes, build features surface features and peculiarities of AWS accelerators to developers, implement tools to analyze numerical errors, and resolve the root cause of compiler defects. You’ll also participate in design discussions, code review, and communicate with internal (other Neuron SDK and Amazon wide teams) and external stakeholders (open-source communities). Lastly, work in a startup-like development environment, where you’re always working on the most important stuff. 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 Amazon values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Inclusive Team Culture Here at Amazon, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life 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. • 3+ years of non-internship professional software development experience, • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience, • Experience programming with at least one software programming language, • Master's degree or PhD in Computer Science, or a related technical field., • 3+ years of experience writing production grade code in object-oriented languages such as C++/Java., • Experience in compiler design for CPU/GPU/Vector engines/ML-accelerators., • Experience with OpenSource compiler toolset like LLVM/MLIR., • Experience with the following technologies: PyTorch, OpenXLA, StableHLO, JAX, TVM, deep learning models, and algorithms., • Experience with modern build systems like Bazel/CMake. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at _. USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually