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AI Systems Software Engineering Intern – Summer 2027
NVIDIA · Austin, TX · Posted 7 days ago
Apply AI agents and ML to real compiler and GPU performance problems, building the tools that let agents run experiments and recommend optimizations on representative workloads.
NVIDIA is looking for an AI Systems Software Engineering Intern to apply AI agents, machine learning, and performance engineering to compilers and developer tools. You will work with compiler and AI engineers on a scoped project involving code, compiler and performance feedback, experiments, and optimization. Depending on your background and interests, the work may focus on agentic workflows, learned models, performance analysis, or AI-enabled developer tools. Experience in every area is not expected.
What you’ll be doing:
- Build AI-agent workflows that interact with code, compilers, benchmarks, performance tools, and engineering systems.
- Develop tools that help agents collect data, run experiments, analyze compiler and performance feedback, identify optimization opportunities, and recommend 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.
- Work 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.
What we need to see:
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This posting is sourced from NVIDIA's own career site — applying takes you there directly.
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This role is one of 154 Software Engineer openings in Austin, TX and centers on Python, C, C++, and Data Structures. There are 2,109 open roles at NVIDIA right now.
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