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Annapurna Labs (U.S.) Inc. is seeking a Manufacturing Test Engineer to develop, deploy and sustain tests for AI accelerator hardware, boards, sleds and systems used in training platforms.
You will own test development from prototype through high-volume production, build automated suites in Python/C/C++, and work with hardware, firmware and software teams across multiple sites to drive quality and yield in manufacturing.
Shape the future of AI infrastructure! Join AWS as we scale our Manufacturing Test Engineering team developing comprehensive testing solutions for our innovative AI acceleration hardware, deployed across our global server fleet. Annapurna Labs (our organization within AWS) designs hardware and software that accelerates innovation. Our custom chips, accelerators, and software stacks enable breakthrough performance in cloud computing, helping customers solve previously impossible challenges.
We're expanding our AI Hardware Test Organization and seeking a Manufacturing Test Engineer to develop, deploy and sustain the tests that qualify the boards, sleds and systems inside our machine learning training systems. In this role you will own test development for assigned products and test insertions — writing test plans, building automated test suites, validating them against known-good and known-bad units, and deploying them to our manufacturing partners. You will work alongside hardware designers, software engineers, and manufacturing operations throughout the product development cycle, and you will own your tests once they are running on the line: triaging failures, closing coverage gaps, and keeping stations healthy at multiple sites.
Our training systems are built from several kinds of hardware — accelerator baseboards, switching and interconnect sleds, trays, and complete racks — and your assignment will follow the program's needs rather than a single fixed product. What stays constant is the work itself: taking a new or changed design through test development, proving the test catches real defects, and keeping it healthy once a factory is running it at volume.
The ideal candidate pairs a solid understanding of computer systems — host software, firmware, buses and the high-speed interfaces between them, and the board underneath all of it — with solid programming ability, hands‑on hardware debug skill and a dedication to quality. You are comfortable driving a board or system under real workload rather than only measuring it, and you want to see your test catch a defect before a customer does.
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.
Annapurna Labs is a wholly owned subsidiary of AWS, focused on developing custom silicon and servers including the Nitro, Graviton, Inferentia, and Trainium families of processors. Machine Learning Annapurna (MLA) functions as a vertically integrated team including software, firmware, hardware, and silicon design in a single organization. We are the Training Servers and Systems organization under MLA, focused on Hardware Development, Software Development, Fleet Ops Systems, and Manufacturing, Quality, and Reliability. This position is in the Manufacturing Test Engineering team.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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 https://amazon.jobs/en/benefits.
USA, TX, Austin - 136,000.00 - 184,000.00 USD annually
Annapurna Labs (U.S.) Inc.
Job ID: A10572925