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NVIDIA

AI Systems Software Engineering Intern – Summer 2027

NVIDIA is hiring an AI Systems Software Engineering Intern – Summer 2027 in Austin, United States. It pays $20-$71/hr and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Level rates this role Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include AI agents.
  • Level classifies it as an internship.
  • Level lists 2,700+ other open roles at NVIDIA.
  • The role was posted in the last few days.

AI in this role

ai-agents

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:

  • 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 hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Intern benefits. ​

Applications for this job will be accepted at least until November 2, 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.

How we rate this

AI Systems Software Engineering Intern – Summer 2027 at NVIDIA rates 87 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agents

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. How would you decide a model or AI system is ready to ship?
  3. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: AI agents. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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