AI Compiler Formal Verification Intern
Nvidia
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This role on the market
694 open verification roles across 43 companies are on ApplySarthi right now, most of them in Bengaluru (146), Hyderabad (53), Pune (10).
- FPGA Verification EngineerNokia
- Mainframe System Verification Tester ApprenticeIBM
- Design Verification InternMarvell
- Electrification Verification EngineerGeneralmotors
- SoC Design Verification EngineerIntel
What verification roles keep asking for: Python (49%), Perl (29%), C++ (23%), Linux (13%) — counted across their open postings here.
C++ jobs · Deep learning jobs · PyTorch jobs · Python jobs
Nvidia has 3,820 open roles listed here.
- Software Developer - Networking
- Manager, Silicon Circuit and Power Integrity - Silicon Co-Design Group
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- Manager, Software Verification
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for verification roles keep coming back to Python, Perl, C++, Linux. 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.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
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Practise the AI Compiler Formal Verification Intern at Nvidia interview free →NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. What you’ll be doing : Research and implement innovative formal methods to verify state of the art AI compilers. This includes but is not limited to AI compiler features, passes, IR's, sub-graphs, lowerings and other critical elements of AI compilers. This role provides you with an opportunity to explore and use AI, formal verification, and other forms of semantic verification or static analysis techniques to innovate solutions that verify AI compilers for human and agentic-use cases. What we need to see : • Pursuing PhD in Computer Science, Computer/Electrical Engineering, Mathematics or equivalent program • Strong Python or C++ programming skills • Strong academic background in formal methods (preferably PhD) Ways to stand out from the crowd: • Academic or industrial background using LEAN or SMT to solve compiler or compiler-adjacent problems • Knowledge of deep learning frameworks (such as Pytorch and TensorRT) and compilers With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
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Listed on workday · posted 2026-10-20. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.