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≈ $57k – $109k per year (Estimated)
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Intern
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Internship

Confirmed on the employer's own hiring board on Oct 5, 2026. First seen by Alion on Oct 5, 2026. NVIDIA scores A on the Alion truth index.

Overview
Company
Impact
Profile match
NVIDIA is an American technology company founded in 1993 that invented the graphics processing unit and has become the dominant supplier of accelerated computing platforms for artificial intelligence. Its portfolio spans data centre GPUs and systems built on the Hopper and Blackwell architectures, GeForce consumer graphics, automotive and robotics platforms, high-speed networking acquired with Mellanox, and the CUDA software stack that binds the ecosystem together. Headquartered in Santa Clara, California, the company sells to cloud providers, enterprises, research institutions and gamers worldwide and is one of the most valuable listed businesses on the Nasdaq.

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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