ApplySarthiSr Power Engineer, Annapurna Labs, AI Power Team
Annapurna Labs
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This role on the market
84 open annapurna roles across 2 companies are on ApplySarthi right now.
What annapurna roles keep asking for: AWS (55%), Python (48%), C++ (38%), Machine learning (38%), Perl (26%), Java (19%), Linux (14%), Generative AI (13%) — counted across their open postings here.
Annapurna Labs has 118 open roles listed here.
- MLA Design Verification Engineer, Annapurna Labs
- Sr. Physical Design Engineer, Annapurna Labs
- Sr. Thermal & Mechanical Packaging Engineer, Annapurna Labs
- Principal Technical Program Manager
- Sr Embedded Software Engineer, Annapurna ML Software
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for annapurna roles keep coming back to AWS, Python, C++, Machine learning. Practise those questions before you sit with Annapurna Labs.
Questions you are likely to be asked
- Why do you want to join Annapurna Labs?
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
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Practise the Sr Power Engineer, Annapurna Labs, AI Power Team at Annapurna Labs interview free →Annapurna Labs designs silicon 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 Basic qualifications: - Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical field - 8+ years of experience with hardware and software integration for embedded systems or hardware development - 5+ years of experience with managing ODM - 5+ years of experience as the lead technologist/architect/engineer in the power space for a major technology, component, product, or product line - Demonstrated expertise in driving power reliability and efficiency through design enhancement and failure mode analysis - Experience with statistical analysis and modeling for reliability, performance, and/or cost Preferred: - Master's degree in Computer Science or a related field - Experience with ML accelerators - Experience with data center deployments of compute-related infrastructure 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 - 137,300.00 - 185,700.00 USD annually
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Listed on amazon · posted 2026-09-29. ApplySarthi collects openings and links to application pages; the role is advertised by Annapurna Labs, not by us.