NVIDIA AI Compiler & Kernel Intern Summer 2027 | Austin | $20–$94/hr
Apply by 03 Feb 2027
Key Facts
| Role | AI Compiler and Kernel Intern — Summer 2027 |
|---|---|
| Company | NVIDIA |
| Location(s) | Austin, TX |
| Term | Summer 2027 internship |
| Pay | $20–$94 per hour (standard intern scale by location/year/degree) + intern benefits |
| Deadline | Applications accepted at least until November 6, 2026 — apply early |
Overview
This Austin internship sits where AI agents meet compilers and GPU kernels. You may build agent workflows that drive experiments, analyze compiler/kernel feedback, prototype optimization tools, or improve developer infrastructure. Candidates can enter from a compiler or kernel background—NVIDIA does not expect expertise in every area.
You partner with compiler, kernel, architecture, AI, and performance engineers and measure correctness, runtime, compile time, and resource use on real workloads.
Eligibility / Key Requirements
- Pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or similar
- Strong programming in Python, C, C++, or similar; solid DS/algorithms foundations
- Coursework, research, or projects in AI/ML/agents, compilers, GPU kernels/CUDA, systems, or performance engineering
- Ability to design experiments, analyze results, and communicate findings
- Standouts: LLVM/MLIR, CUDA/Triton kernels, agentic coding tools, open-source or research impact
How to Apply
- Open the official application from EduBard’s Apply button.
- Create or sign in to your employer account.
- Submit soon — posting notes acceptance at least through November 6, 2026.
Compiled from the official posting; verify details on the employer site before applying.
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