Compiler Software Engineer Intern - Summer 2025

Sorry, this job was removed at 03:10 p.m. (CST) on Thursday, May 08, 2025
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Austin, TX
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
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”.

We are looking to grow our company, and grow our teams with the smartest people in the world. We are looking for you: a Computer Science or Computing Engineering grad student to support our NVIDIA Back-End Compiler Team for a 2021 internship! Our team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team is comprised of worldwide leading compiler engineering experts who provide cutting edge performance and capabilities for NVIDIA's current and future complex parallel SIMT architectures.

What you’ll be doing:

  • You will be investigating and developing solutions to important and challenging problems within the NVIDIA Compiler Back End – consistent with your compiler experience and knowledge.

  • Work directly with a mentor and operate as part of the larger OCG team.

What we need to see:

  • Currently pursuing a bachelors degree in Computer Science or Computer Engineering.

  • Successful completion of an undergraduate Compiler Design class.

  • Strong writing and oral skills, as well as an ability to follow best practices for Software Engineering.

  • You possess strong coding skills with C++

Ways to stand out from the crowd:

  • You have a graduate degree in a related field.

  • You wish to specialize in Compiler Design and Construction, and have pursued graduate coursework in these areas.

  • Hands-on experience with backend compiler design and code generation.

  • Experience with in any of the following areas is a plus: GPU and parallel architectures; CUDA and/or PTX; Graphics (OpenGL, DX or Vulkan); jQuery, CGI and HTML knowledge.

  • Understand the basics of unit testing methods. Familiarity with any unit test framework (e.g. GoogleTest) a plus.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the brightest people in the world working for us and, due to unprecedented growth, our elite 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!

The hourly rate for our interns is 18 USD - 71 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

You will also be eligible for Intern benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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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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