AI Compiler & Kernel Intern: Build AI-Agent Workflows

NVIDIA Corporation; Austin (TX); On-site; USD 28,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA Corporation is seeking an AI Compiler & Kernel Intern in Austin to work with compiler, kernel, and AI engineers on a scoped project involving data-driven optimization, performance experiments, and developer-tool workflows.

You will design experiments, build tools for data collection, and explore AI-enabled methods for code generation, GPU kernel tuning, and performance prediction across representative workloads.

Qualifications

• Pursuing a BS, MS, or PhD in CS/CE/EE or a related field.
• Strong programming skills in Python, C, or C++.
• Solid foundations in data structures, algorithms, software engineering, and quantitative problem solving.
• Coursework, research, or project experience in AI, ML, 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 AI, compiler, kernel, performance, or systems areas, with the ability to learn across technical boundaries.

Responsibilities

• Build AI-agent workflows that interact with code, compilers, GPU kernels, benchmarks, performance tools, and engineering systems.
• Develop tools that help agents collect data, run experiments, analyze compiler, kernel, and performance feedback, identify optimization opportunities, and recommend next steps.
• Explore data-driven approaches for compiler optimization, GPU kernel generation and tuning, performance prediction, decision support, 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, optimization tools, experimentation systems, or developer workflows.
• Work with compiler, kernel, architecture, AI, and performance engineers to evaluate ideas on representative workloads.
• Measure correctness, runtime performance, compile time, resource utilization, reliability, and other relevant outcomes.
• Document the design, experiments, results, limitations, and next steps.

Skills

Python

C

C++

Education

BS/MS/PhD in CS/CE/EE

Job description

NVIDIA Corporation is seeking an AI Compiler & Kernel Intern in Austin to work with compiler, kernel, and AI engineers on a scoped project involving data-driven optimization, performance experiments, and developer-tool workflows.

You will design experiments, build tools for data collection, and explore AI-enabled methods for code generation, GPU kernel tuning, and performance prediction across representative workloads.