AI Systems Software Engineering Intern – Summer 2027
Work on AI-agent workflows and compiler optimization systems using Python, C++, and compiler feedback loops.
Originally posted 29 October 2026 by the employer.
About the role
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.
What you'll do
- 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.
- Measure correctness, runtime performance, compile time, reliability, and other relevant outcomes across representative workloads.
What you'll need
- Currently 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.
Skills: compilers, LLVM, CUDA, Python, C++
More semiconductor jobs: NVIDIA jobs · Texas jobs
This role has been open 0 days — well below the 56-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · GPU Software Stack
|
Open roles in category
252
|
Median days open
56 d
|
Category median salary (all employers)
$221k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (252 roles · 18 employers) |
|---|---|---|
| Open roles in this specialty | 126 | 252 |
| Open roles in the wider Software, Firmware & Systems family | 1002 | 6265 · 144 employers |
| Median days open | 59 d | 56 d (+3 d vs this employer) |
| Median salary (USD postings) | — | $221k |
Skills observed across this category: compilers, LLVM, CUDA, Python, C++
Who's hiring in this category
- NVIDIA (this employer) · 122 open roles · median 59 d
- AMD · 55 open roles · median 58 d
- Intel Corporation · 29 open roles · median 16 d
- Qualcomm · 17 open roles · median 189 d
- Arm Holdings · 8 open roles · median 2 d
- Graphcore · 4 open roles · median 9 d
How we counted: 252 open Infrastructure/Platform Software (GPU Software Stack) roles from 18 employers tracked in the SemiconductorJobs index, counted 30 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.