Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
CUDA @ 3
Communication @ 6
GPU @ 3
OpenCL
OpenGL
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking a Computer Science or Computer Engineering student to support its Back-End Compiler Team during a summer 2027 internship. The team constructs and emits high-performance GPU machine instructions for graphics technologies including OpenGL, Vulkan, and DirectX, as well as compute technologies including CUDA, PTX, OpenCL, Fortran, and C++. The team works on compiler technology for complex parallel SIMT architectures and deep-learning applications.
Responsibilities
- Investigate and develop solutions to challenging problems within the NVIDIA Compiler Back End.
- Work directly with a mentor as part of the larger OCG team.
- Collaborate with global compiler, hardware, and application teams on improvements and problem resolution.
- Contribute to deep-learning compiler technology spanning architecture design and support through functional languages.
Requirements
- Currently pursuing a bachelor's or master's degree in Computer Science, Computer Engineering, or a similar field.
- Successful completion of an undergraduate Compiler Design course.
- Strong written and verbal communication skills.
- Ability to follow software engineering best practices.
- Strong coding skills in C++.
Preferred Qualifications
- Graduate degree in a related field.
- Graduate coursework specializing in compiler design and construction.
- Hands-on experience with back-end compiler design and code generation.
- Experience with GPU and parallel architectures, CUDA, PTX, or IR compression.
- Experience or strong interest in register allocation or instruction scheduling.
Benefits
- Hourly internship pay of USD 20 to USD 71.
- Intern benefits.
- NVIDIA is an equal opportunity employer committed to an inclusive work environment.
Applications will be accepted at least until November 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
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