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NNVIDIA

Compiler Software Engineering Intern - Summer 2027

Redmond, WAListed 4h ago

  • On-site
  • Internship
  • Summer 2027
  • BS
  • MS

About this 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.
- Work with global compiler, hardware and application teams to oversee improvements and problem resolutions
- Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through functional languages

What we need to see:

- Currently pursuing a bachelors or masters degree in Computer Science or Computer Engineering or similar field
- 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; IR Compression.
- Experience or strong interest register allocation or instruction scheduling.

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!

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Intern   benefits . ​

Applications for this job will be accepted at least until November 2, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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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Location
Redmond, WA
Work model
On-site
Role type
Internship
Season
Summer 2027
Degrees
BS · MS
Family
Software Engineer
Listed
4h · Oct 29, 2026
N

NVIDIA

Public · 10,001+ employees

  • Semiconductors & Electronics
  • AI & Machine Learning
  • Gaming

NVIDIA develops accelerated-computing platforms that combine GPUs, CPUs, networking, systems, software, and services. Its markets include data centers, gaming, professional visualization, and automotive, with a major focus on artificial intelligence.

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