Deep Learning Performance Software Engineer
Nvidia
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This role on the market
1,096 open performance roles across 330 companies are on ApplySarthi right now, most of them in Bengaluru (50), Hyderabad (28), Pune (10).
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What performance roles keep asking for: Python (25%), C++ (20%), Paid media (14%), SQL (12%) — counted across their open postings here.
Nvidia has 3,855 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for performance roles keep coming back to Python, C++, Paid media, SQL. Practise those questions before you sit with Nvidia.
Questions you are likely to be asked
- Why do you want to join Nvidia?
- What is your experience with Deep learning? Tell me one thing you learned the hard way.
- 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?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Deep Learning Performance Software Engineer at Nvidia interview free →We are now looking for a Deep Learning Performance Software Engineer! We are expanding our research and development for deep learning. We seek excellent Software Engineers and Senior Software Engineers to join our team. We specialize in developing GPU-accelerated Deep learning software. Researchers around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in numerous areas. Join the team that builds software to enable new solutions. Your ability to work in a fast-paced customer-oriented team is required and excellent communication skills are necessary. What you’ll be doing: Develop compilers and DSLs for deep learning workloads Design and implement highly optimized deep learning kernels Continuously improve the compiler architecture for current and next generation chips Perform performance analysis on emerging AI workloads and integrate with AI frameworks What we need to see: Master's or Ph.D degree (or equivalent experience) in relevant discipline (CE, CS&E, CS, AI) Excellent C/C++ programming and software design skills Experience with XLA, TVM, MLIR, LLVM, deep learning models and algorithms 3+ years of relevant work experience NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!
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Listed on workday · posted 2026-09-18. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.