Senior Product Development Engineer, Annapurna Labs Silicon Operations
Annapurna Labs
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Counted across 14 company job boards, updated as roles open and close.
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Questions you are likely to be asked
- Why do you want to join Annapurna Labs?
- What is your experience with AWS? Tell me one thing you learned the hard way.
- What do you do when a production issue happens on your code?
- Walk me through a system you built. How was it designed, and what would you change now?
- Tell me about a hard bug you tracked down. How did you find the cause?
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Practise the Senior Product Development Engineer, Annapurna Labs Silicon Operations at Annapurna Labs interview free →AWS-Annapurna Labs develops the silicon used in our most advanced machine learning accelerator servers at cutting-edge process nodes. These SOCs are used in massively scaled server clusters to provide Basic qualifications: - Bachelor's degree in Electrical Engineering or a related field - 7+ years of semiconductor industry experience as a product/test engineer analyzing test data, including ownership of yield or test for a product at one or more insertions - Experience using Python or other scripting languages for data analysis and automation - Strong analytical and problem-solving skills - Demonstrated ability to drive cross-functional initiatives and influence stakeholders without direct authority Preferred: - Experience owning yield and performance optimization at system or ATE test on advanced FINFET nodes across a full product lifecycle - Deep understanding of ATE test content (Scan, BIST, Functional, IO tests) and experience defining test limits and screening methodologies based on characterization - Experience with power and performance characterization on high-performance chips - Experience defining cost, schedule, and resource models for new product introduction (NPI) - Knowledge of usage of ATPG scan diagnostics and SRAM bitmap analysis for FA and yield debug. - Proficiency in statistical analysis tools (JMP, Python) and automation for semiconductor test data. - Experience building automated analysis systems and interactive dashboards for yield and quality monitoring. - Experience mentoring engineers and evaluating vendor tools/systems - Familiarity with AWS services (SageMaker, S3, QuickSight, etc.) and ability to use these for automation 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 - 185,200.00 - 250,000.00 USD annually
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Listed on amazon · posted 2026-10-16. ApplySarthi collects openings and links to application pages; the role is advertised by Annapurna Labs, not by us.