AI Systems Software Engineering Intern – Summer 2027

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

Benefits offered by this job

Intern benefits

Job summary

NVIDIA Corporation in Austin, TX is offering an internship to help build AI-agent workflows that interact with code, compilers, benchmarks, and engineering systems. You will design experiments, develop data-collection tools, and contribute to performance optimization.

This position requires pursuing a BS, MS, or PhD in CS/CE/EE, strong Python and C/C++, and coursework or projects in AI, compilers, or systems. Experience with LLVM/MLIR or CUDA is a plus. Intern benefits apply.

Qualifications

• Pursuing a BS, MS, or PhD in CS/CE/EE or 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, and performance tools.
• Develop tools to collect data, run experiments, analyze feedback, and identify optimization opportunities.
• Explore data-driven approaches for compiler optimization, performance prediction, decision support, and workflow automation.
• Build 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

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

Tools

LLVM/MLIR

CUDA

Job description

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:

• 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 one or more of these areas: 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.

Ways to stand out from the crowd:

• Experience building AI agents, LLM applications, evaluation systems, coding workflows, or developer tools.
• Experience with LLVM, MLIR, compiler optimization passes, code generation, domain‑specific languages, or compiler infrastructure.
• Familiarity with GPU architecture, CUDA, GPU programming, or performance optimization.
• Hands‑on experience with reinforcement learning, evolutionary algorithms, predictive modeling, ranking, search, or high-dimensional data analysis.
• Research, internships, open‑source contributions, or personal projects that measure runtime, compile time, resource use, code quality, or developer productivity.

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 20 USD – 94 USD.

You will also be eligible for Intern benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.