About the role#
NVIDIA is looking for an AI Compiler and Kernel Intern to apply machine learning and performance engineering to compilers, GPU kernels, and developer tools. You will work alongside compiler, kernel, and AI engineers on a project involving code analysis, performance experiments, and system optimization. Depending on your interests, your work may focus on agentic workflows, learned models, compiler optimization, or AI-enabled developer tools. We do not expect candidates to have experience in every area.
What you'll do#
- Build AI-agent workflows that interact with code, compilers, GPU kernels, and performance tools.
- Develop tools to help agents collect data, run experiments, and identify optimization opportunities.
- Explore data-driven approaches for compiler optimization, performance prediction, and workflow automation.
- Create interfaces between AI agents and compiler or developer-tool infrastructure.
- Prototype improvements to compiler flows, code generation, and GPU kernels.
- Collaborate with architecture and performance engineers to evaluate ideas on representative workloads.
- Measure outcomes including correctness, runtime performance, compile time, and resource utilization.
- Document your design, experiments, results, and next steps.
What you'll need#
- Pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a similar field.
- Strong programming skills in Python, C, or C++.
- Solid foundations in data structures, algorithms, and quantitative problem solving.
- Coursework or project experience in AI, machine learning, compilers, GPU kernels, CUDA, or performance engineering.
- Ability to design experiments, analyze results, and communicate findings clearly.
- Experience in AI, compiler, kernel, or systems areas.
- Background in building AI agents, LLM applications, or developer tools is a plus.
- Familiarity with LLVM, MLIR, or compiler optimization passes.
- Experience writing or optimizing GPU kernels using CUDA or Triton.
- Hands-on experience with reinforcement learning, predictive modeling, or high-dimensional data analysis.
Location & details#
- Location: Austin, Texas.
- Term: Summer 2027.
- Employment: Full-time internship.
- Compensation: 20 USD to 94 USD per hour, depending on experience and degree level.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
Applying early gives you a distinct advantage at NVIDIA because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can apply among the first before the pile grows. Getting your resume in front of a human early is often the difference between a screening call and a rejection. You can use Intern Insider to surface the recruiters behind NVIDIA roles to reach out directly. Asking a recruiter about the role or a referral materially improves your response rates compared to submitting into a general queue. It is a simple way to make your application stand out in a competitive process.
