AI Systems Software Engineering Intern – Summer 2027
$0k - $0k • Remote • US, TX, Austin
Posted 1d ago
Job Location
US, TX, Austin
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Engineer
About the job
NVIDIA is seeking an AI Systems Software Engineering Intern to contribute to compilers and developer tools by applying AI agents, machine learning, and performance engineering. Interns will collaborate with compiler and AI engineers on projects involving code, compiler feedback, performance experiments, and optimization. The role offers opportunities to focus on agentic workflows, learned models, performance analysis, or AI-enabled developer tools, depending on the intern's background and interests. Experience in all areas is not required.
Responsibilities
- Build AI-agent workflows that interact with code, compilers, benchmarks, performance tools, and engineering systems.
- Develop tools to assist agents in data collection, experiment execution, analysis of compiler and performance feedback, identification of optimization opportunities, and recommendation of next steps.
- Explore data-driven approaches for compiler optimization, performance prediction, decision support, and workflow automation.
- Build reliable interfaces between AI agents and compiler or developer-tool infrastructure.
- Prototype improvements to compiler flows, optimization tools, experimentation systems, or developer workflows.
- Collaborate with compiler, architecture, AI, and performance engineers to evaluate ideas on representative workloads.
- Measure correctness, runtime performance, compile time, reliability, and other relevant outcomes.
- Document the design, experiments, results, limitations, and next steps.
Requirements
- Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related 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, systems, performance engineering, optimization, or developer tools.
- Ability to design experiments, analyze results, investigate technical problems, and communicate findings clearly.
- Interest in learning across AI, compiler, performance, and systems boundaries.
Benefits
- Intern benefits