- Pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a similar field.
- Strong programming skills in Python, C, C++, or a similar language.
- Solid foundations in data structures, algorithms, software engineering, and quantitative problem solving.
- Coursework, research, or project experience in one or more of these areas: AI, machine learning, AI agents, compilers, programming languages, GPU kernels, CUDA or accelerator programming, systems, performance engineering, optimization, or developer tools.
- Ability to design experiments, analyze results, investigate technical problems, and communicate findings clearly.
- Experience working in one or more of AI, compiler, kernel, performance, or systems areas, with the ability to learn across technical boundaries.
Ways to Stand Out from the Crowd
- Experience building AI agents, LLM applications, evaluation systems, coding workflows, or developer tools.
- Experience with LLVM, MLIR, compiler optimization passes, code generation, domain-specific languages, or compiler infrastructure.
- Experience writing, analyzing, or optimizing GPU kernels using CUDA, Triton, or a similar accelerator programming model.
- Hands-on experience with reinforcement learning, evolutionary algorithms, predictive modeling, ranking, search, or high-dimensional data analysis.
Research, internships, open-source contributions, or personal projects that measure runtime, compile time, resource use, code quality, or developer productivity
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 20 USD – 94 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until November 6, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.