ApplySarthiML Accelerator Performance Validation Engineer, Annapurna Labs
Annapurna Labs (U.S.) Inc.
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This role on the market
45 open accelerator roles across 26 companies are on ApplySarthi right now, most of them in Bengaluru (3).
- ACCESS ACCELERATOR SPECIALISTAbbott
- Market Engagement Manager, SheConnects Digital AcceleratorJobgether
- Applied Scientist, Machine Learning AcceleratorAmazon.com Services LLC
- ONA Operations AcceleratorOracle
- Accelerator Agile Coach Performance and Flow CoachSanofi
What accelerator roles keep asking for: AWS (18%), Machine learning (16%), C++ (13%) — counted across their open postings here.
AWS jobs · C++ jobs · CI/CD jobs · Go jobs
Annapurna Labs (U.S.) Inc. has 97 open roles listed here.
- ASIC Test Engineer, Annapurna Silicon Operations
- Product Development Engineer, Annapurna Labs Silicon Operations
- Senior Design Automation Engineer
- Lead Engineer for Manufacturing and Datacenter Lab, Trainium Manufacturing, Quality and Reliability
- Manufacturing Engineer, Trainium Manufacturing, Quality and Reliability
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for accelerator roles keep coming back to AWS, Machine learning, C++. Practise those questions before you sit with Annapurna Labs (U.S.) Inc..
Questions you are likely to be asked
- Why do you want to join Annapurna Labs (U.S.) Inc.?
- What is your experience with AWS? Tell me one thing you learned the hard way.
- 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 ML Accelerator Performance Validation Engineer, Annapurna Labs at Annapurna Labs (U.S.) Inc. interview free →Annapurna Labs, an AWS organization with development centers in the U.S. and Israel, builds custom silicon and software for AWS customers. Our team combines cloud-scale innovation with world-class expertise Basic qualifications: - Currently has, or is in the process of obtaining a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or majors relating to these fields - Strong programming skills in two or more of: C/C++, Rust, Go, Python, Lua - Familiarity with computer architecture (coursework or projects acceptable) - Experience with Linux environments and Git - Experience with system test development, code reviews, source control, build processes, or automated deployments Preferred: - Experience with AWS services or cloud infrastructure - Exposure to firmware development (BIOS, BMC, drivers) - Validation experience in any of: PCIe, HBM, GPUs, neural networks, ML hardware architecture, and/or CI/CD - Familiarity with the validation lifecycle — RTL simulation (SystemVerilog/UVM, VCS, Questa, Xcelium), emulation (Palladium, Zebu, Veloce), or silicon failure analysis and debug - Exposure to Machine Learning hardware or software architecture (coursework or projects acceptable) 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 starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits . Austin, TX, USA - 129,000.00 USD Annually
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Check my match →Similar open roles
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Listed on amazon · posted 2026-07-21. ApplySarthi collects openings and links to application pages; the role is advertised by Annapurna Labs (U.S.) Inc., not by us.