Compiler Verification Intern - Fall 2025

Sorry, this job was removed at 07:19 p.m. (CST) on Monday, Jun 02, 2025
2 Locations
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research.

We are looking for Software Engineering Intern in compiler verification team.

What you'll be doing:

  • Implement programs or GPU code in PTX, CUDA, C/C++, or a GPU assembly language to verify NVIDIA GPU / embedded compilers.

  • Design and implement tools, libraries, and/or automation to support NVIDIA embedded and GPU compiler development and verification process.

  • Collaborate with compiler and hardware teams to create scalable verification infrastructure for NVIDIA embedded platforms, ensuring robustness and reliability across compiler releases.

What we need to see:

  • Strong academic background

  • Pursuing M. Tech. / B. Tech. in Computer Science or Electrical / Electronics / Information technology Engineering

  • Good understanding of programming languages and their specification

  • Strong C/C++ & Python programming skills

Ways to stand out from the crowd:

  • Prior academic experience or projects in compilers & machine learning

  • Prior academic experience in parallel programming or automation

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our diverse team of talented, capable, and professional people is our greatest asset! If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 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, NVIDIA is increasingly known as “the AI computing company.”

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