AI Systems & Compiler Tools Intern

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

Benefits offered by this job

Intern benefits

Job summary

NVIDIA Corporation in Austin, TX seeks an AI Systems Software Engineering Intern to apply AI agents, ML, and performance engineering to compilers and developer tools. You will work with compiler, AI, and performance engineers on a scoped project involving code, experiments, and optimization.

You will design experiments, measure results, and document findings. Pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, with strong Python, C, or

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

C

C++

Data structures

Algorithms

Software engineering

Quantitative problem solving

Education

BS/MS/PhD in CS/CE/EE or related field

Job description

NVIDIA Corporation in Austin, TX seeks an AI Systems Software Engineering Intern to apply AI agents, ML, and performance engineering to compilers and developer tools. You will work with compiler, AI, and performance engineers on a scoped project involving code, experiments, and optimization.

You will design experiments, measure results, and document findings. Pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field, with strong Python, C, or