AI Systems Software Intern: Build AI-Driven Compiler & Tools

NVIDIA; Austin (TX); On-site; USD 28,000 - 98,000; Part time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA is seeking an AI Systems Software Engineering Intern to apply AI agents, machine learning, and performance engineering to compilers and developer tools. You will collaborate with compiler and AI engineers on a scoped project involving code, feedback, experiments, and optimization.

Depending on your background, the work may focus on agentic workflows, learned models, performance analysis, or AI-enabled developer tools. Interns receive hourly pay and benefits.

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, ML, compilers, programming languages, systems, optimization, or developer tools.
• Ability to design experiments, analyze results, investigate technical problems, and communicate findings clearly.

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 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

Tools

LLVM

MLIR

CUDA

Job description

NVIDIA is seeking an AI Systems Software Engineering Intern to apply AI agents, machine learning, and performance engineering to compilers and developer tools. You will collaborate with compiler and AI engineers on a scoped project involving code, feedback, experiments, and optimization.

Depending on your background, the work may focus on agentic workflows, learned models, performance analysis, or AI-enabled developer tools. Interns receive hourly pay and benefits.