Amazon
Company
Systems Test Engineer - AI Hardware Manufacturing, Annapurna Labs
US, TX, Austin
Job Description
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 rapidly expanding our AI Hardware Test Organization and seeking talented Systems Test Engineers, Test Development Engineers, and Manufacturing Test Engineers. In this role, you'll own the entire test lifecycle - from creating test plans and developing test suites to validating and deploying tests in high-volume manufacturing. You'll ensure our AI hardware systems meet the highest quality standards through rigorous testing methodologies.
You'll work closely with hardware designers, software engineers, and operations teams throughout the product development cycle. Your expertise in test development and system-level validation will be crucial for ensuring product quality from early prototypes through mass production. The ideal candidate combines strong programming skills with hardware systems-level understanding and a dedication to quality.
Key job responsibilities
* Create and execute comprehensive test plans for AI hardware systems from prototype through mass production
* Design and develop automated test suites and frameworks using Python, C/C++, and shell scripting
* Own the deployment and maintenance of test solutions in high-volume manufacturing environments
* Drive system-level testing covering hardware, firmware, and software integration
* Debug complex issues across hardware/software boundaries and perform failure analysis
* Collaborate with manufacturing partners to optimize and scale test deployment globally
* Analyze test results and provide data-driven recommendations for product quality improvements
* Develop and maintain clear test documentation and procedures for manufacturing teams
A day in the life
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.
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.
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 rapidly expanding our AI Hardware Test Organization and seeking talented Systems Test Engineers, Test Development Engineers, and Manufacturing Test Engineers. In this role, you'll own the entire test lifecycle - from creating test plans and developing test suites to validating and deploying tests in high-volume manufacturing. You'll ensure our AI hardware systems meet the highest quality standards through rigorous testing methodologies.
You'll work closely with hardware designers, software engineers, and operations teams throughout the product development cycle. Your expertise in test development and system-level validation will be crucial for ensuring product quality from early prototypes through mass production. The ideal candidate combines strong programming skills with hardware systems-level understanding and a dedication to quality.
Key job responsibilities
* Create and execute comprehensive test plans for AI hardware systems from prototype through mass production
* Design and develop automated test suites and frameworks using Python, C/C++, and shell scripting
* Own the deployment and maintenance of test solutions in high-volume manufacturing environments
* Drive system-level testing covering hardware, firmware, and software integration
* Debug complex issues across hardware/software boundaries and perform failure analysis
* Collaborate with manufacturing partners to optimize and scale test deployment globally
* Analyze test results and provide data-driven recommendations for product quality improvements
* Develop and maintain clear test documentation and procedures for manufacturing teams
A day in the life
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.
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.
Amazon
310 jobs posted
About the job
Similar Jobs
Discover more opportunities that match your interests
- 27 days ago
Intern, Test AI Engineer
Samsung Semiconductor
San Jose, California, United StatesView details - 5 days ago
2026 Graduate Software Engineer - AI/ML Test Systems
Graphcore
Bristol, UKView details - 5 days ago
2026 Graduate Software Engineer - AI/ML Test Systems
Graphcore
Bristol, UKView details - 12 days ago
Mechanical Design Engineer: AI Hardware
xAI
Memphis, TNView details - 10 days ago
Finance Systems, AI Data Engineer
Anthropic
San Francisco, CAView details - 26 days ago
Machine Learning/ AI Engineer - Agentic Systems
Synthesia
LondonView details - 20 days ago
Machine Learning - Compiler Engineer, Annapurna Labs
Amazon
US, CA, CupertinoView details - 8 days ago
Staff Machine Learning Engineer, AI Labs
Paypal
San Jose, California, United States of AmericaView details - 25 days ago
AI Engineer
Motorola Solutions
RemoteView details - 26 days ago
Senior Data Visualization Engineer – AI Systems Performance
NVIDIA
US, CA, Santa ClaraView details
View all ML Engineer jobs
Looking for something different?
Browse all AI jobs