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DFT Design Engineer, Machine Learning Acceleration

Annapurna Labs (U.S.) Inc.

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98 open acceleration roles across 33 companies are on ApplySarthi right now, most of them in Chennai (7), Bengaluru (2).

What acceleration roles keep asking for: AWS (32%), Python (13%) — counted across their open postings here.

AWS jobs · Machine learning jobs · Perl jobs · Python jobs

Annapurna Labs (U.S.) Inc. has 97 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

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Interviews for acceleration roles keep coming back to AWS, Python. Practise those questions before you sit with Annapurna Labs (U.S.) Inc..

Questions you are likely to be asked

  1. Why do you want to join Annapurna Labs (U.S.) Inc.?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. How would you explain your model's result to someone who is not technical?
  4. What would you check first if a model's accuracy dropped after going live?
  5. When would you not use machine learning for a problem?

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Custom SoCs (System on Chip) are at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team, you'll be responsible for designing and optimizing hardware Basic qualifications: - Bachelor's degree in Electrical or Communications Engineering or a related field - 5+ years of practical DFT experience with complex SoC designs in advanced technology nodes - Experience with standard tools and practices in DFT, including ATPG, JTAG, MBIST and trade-offs between test quality and test time - Experience with automation script development Preferred: - Master's degree in Electrical or Communications Engineering or a related field - Practical experience developing STA constraints for DFT modes and working directly with PD teams to close timing - Experience with RTL coding and design verification (DV) flows - Experience with gate-level simulation setup and debug with SDF - Strong programming and scripting skills in Perl, Python or Tcl - Practical experience with silicon debug and yield optimization 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

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Listed on amazon · posted 2026-09-01. ApplySarthi collects openings and links to application pages; the role is advertised by Annapurna Labs (U.S.) Inc., not by us.