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 with compiler, kernel, and AI engineers on a project involving code, performance experiments, and optimization. Depending on your background, your work may focus on agentic workflows, compiler optimization, GPU kernel development, or AI-enabled developer tools. You do not need experience in every area to be considered.
What you'll do#
- Build AI-agent workflows that interact with code, compilers, GPU kernels, benchmarks, and engineering systems.
- Develop tools that help agents collect data, run experiments, analyze feedback, identify optimization opportunities, and recommend next steps.
- Explore data-driven approaches for compiler optimization, GPU kernel tuning, performance prediction, and workflow automation.
- Build reliable interfaces between AI agents and compiler, kernel, or developer-tool infrastructure.
- Prototype improvements to compiler flows, code generation, GPU kernels, and experimentation systems.
- Work with architecture and performance engineers to evaluate ideas on representative workloads.
- Measure correctness, runtime performance, compile time, resource utilization, and reliability.
- Document the design, experiments, results, limitations, 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, C++, or a similar language.
- Solid foundations in data structures, algorithms, software engineering, and quantitative problem solving.
- Coursework, research, or project experience in AI, machine learning, AI agents, compilers, programming languages, GPU kernels, CUDA, systems, performance engineering, or developer tools.
- Ability to design experiments, analyze results, investigate technical problems, and communicate findings clearly.
- Experience working in at least one of these areas: AI, compiler, kernel, performance, or systems.
Location & details#
- Location: Austin, Texas.
- Term: Summer 2027.
- Modality: On-site.
- Employment type: Full-time.
- Compensation: Paid internship with an expected hourly rate between 20 USD and 94 USD.
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.
