AI Compiler Formal Verification Intern

NVIDIA

Switzerland, Zurich; Germany, MunichPosted 14 days agoDiscoveredMatch locked

Full time

About the role

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.

Not included in the source posting: about the role, qualifications, benefits.

Skills

artificial-intelligencedeep-learningcpythonpytorch

Who can apply

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