AmazonSr Cloud Hardware Development Engineer - Manufacturing Test Engineering, Annapurna Labs
Amazon is hiring a Sr Cloud Hardware Development Engineer - Manufacturing Test Engineering, Annapurna Labs in Austin, United States. It pays $159k-$215k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions Python, C and hardware testing among its tools and skills.
- Level classes it as a senior role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Develop comprehensive manufacturing test solutions and automation frameworks for AWS AI acceleration hardware.
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
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.
Basic qualifications
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or a related field
- Experience building test automation frameworks and tools
- Experience in a Linux or Unix environment
- 5+ years of integration, testing and automation experience
- Experience with programming languages such as Python, Java, C++
- Experience with general troubleshooting/debugging of hardware
- Experience in manufacturing, process, or industrial engineering
Preferred qualifications
- Experience programmatically testing products, measuring test coverage, developing the best automation, driving testability and diagnostic
- Experience in hardware design and validation of components, subsystems and systems
- Experience collecting, analyzing, and utilizing data to drive process and system improvements
- Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality
- Experience in high-volume manufacturing operations or sourcing environments
- Experience with performance and stress testing methods and frameworks
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 - 159,200.00 - 215,300.00 USD annually
How we rate this
Sr Cloud Hardware Development Engineer - Manufacturing Test Engineering, Annapurna Labs at Amazon rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where hardware testing was part of your work. What did you do?
- Tell me about a project where manufacturing test was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Tell me about a project where failure analysis was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Hardware Testing, Manufacturing Test, Automation, Failure Analysis, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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