Product Test Engineer

Product Test Engineer - Machine Learning Hardware, Annapurna LabsShape the future of AI infrastructure Join AWS and develop system-level test solutions for our innovative ML acceleration hardware, deployed across our global server fleet.Annapurna Labs (our organization within AWS) design hardware 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're seeking highly skilled and motivated Product Test Engineers to join our Machine Learning Acceleration team at Annapurna Labs. In this role, you'll be at the forefront of validating and ensuring the quality of our advanced ML hardware systems as they transition from development to large-scale deployment across AWS's vast server fleet. You'll be responsible for designing and implementing comprehensive system-level test strategies that cover the full spectrum of our ML acceleration products, from individual components to fully integrated systems. This position requires a unique blend of hardware knowledge, software expertise, and systems thinking, as you'll be working at the intersection of custom silicon, complex firmware, and high-performance ML workloads.You'll collaborate closely with cross-functional teams including hardware designers, software engineers, and operations specialists to develop robust test solutions that can scale to meet the demands of AWS's global infrastructure. Your work will be crucial in identifying and resolving integration issues, optimizing system performance, and ultimately ensuring that our ML acceleration products meet the highest standards of reliability and efficiency in real-world data center environments. If you're passionate about pushing the boundaries of ML hardware testing and have a knack for solving complex system-level challenges, we want you on our team.Key job responsibilitiesDesign and implement system-level test strategies for ML acceleration productsDevelop comprehensive functional and performance tests for complete ML systemsCreate and maintain scalable test infrastructure for high-volume product validationImplement product bring-up and first-boot test proceduresDrive improvements in test coverage, product quality, and manufacturing efficiencyCollaborate with hardware and software teams to ensure end-to-end product validationAnalyze system-level test data to identify and resolve integration issuesDebug complex hardware/software interactions in a production environmentDevelop and maintain documentation for system test procedures and manufacturing processesOptimize test workflows to balance thoroughness with production efficiencyA day in the lifeWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon 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.Basic QualificationsBachelor's degree in Computer Engineering, Electrical Engineering, or related field3+ years in system-level product testingStrong programming skills in Python, C/C++Experience with Linux-based systems and scriptingUnderstanding of computer architecture and system-on-chip (SoC) designsPreferred QualificationsExperience working in high-volume manufacturing environments, particularly with ODM/CM partnersExperience implementing and maintaining test solutions at scaleExperience with ML/AI hardware systems and acceleratorsFamiliarity with server and data center environmentsKnowledge of hardware/software co-design and validation techniquesExperience with continuous integration and test automation frameworksStrong debugging and problem-solving skills at the system levelUnderstanding of power management and thermal testing for high-performance systemsExperience with performance profiling and optimization of ML workloadsAmazon 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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.#J-18808-Ljbffr