From Amazon's posting. “We” and “our” refer to the employer.
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.
Key job responsibilities
Develop and execute test plans for boards, sleds, trays and systems — from prototype through high-volume production
Own the functional test content for your assigned products: device and interface enumeration, bring-up, and stability under sustained load
Design and build automated test suites and station software using Python, C/C++ and shell scripting
Deploy your tests into high-volume manufacturing and sustain them once deployed, including remote triage of station and test failures at partner sites
Drive system-level and workload-based functional testing across hardware, firmware and software integration
Debug failures across the hardware/firmware boundary and perform failure analysis to physical root cause
Validate new and changed tests against known-good and known-bad units, and correlate testers before release to production
Analyze test and yield data to identify coverage gaps, and own the corrective action that closes them
Partner with our contract manufacturers and ODM functional teams to implement test solutions and scale them across sites
Maintain clear test documentation and procedures for manufacturing teams
A day in the life
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.
About the team
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.
Basic Qualifications
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or a related field
3+ years of integration, testing and automation experience
Experience building test automation frameworks and tools
Experience with any programming language such as Python, Java, C++
Experience in a Linux or Unix environment
Experience with general troubleshooting/debugging of hardware
Experience in manufacturing, process, or industrial engineering
Preferred Qualifications
Knowledge of computer hardware components and operating systems
Experience programmatically testing products, measuring test coverage, developing the best automation, driving testability and diagnostic
Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality
Experience collecting, analyzing, and utilizing data to drive process and system improvements
Experience with performance and stress testing methods and frameworks
Experience developing functional, workload-based or system-level tests for boards, servers or systems in production
Experience in high-volume manufacturing operations, including test insertions, yield and first-pass-yield, DPPM or escape-rate metrics
Experience working with contract manufacturers or ODMs to deploy and sustain test solutions
Experience in hardware design and validation of components, subsystems and systems, including signal-integrity and high-speed digital work
Equal Opportunity
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
About this listing
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