PhD Research Intern, AI-Aided Engineering – 2027 - CA, Santa Clara, United States
$38 - $94 USD yearly
Originally posted 7 October 2026 by the employer.
Join the AI-Aided Engineering (AIE) team developing novel AI methods for physical simulation and engineering design.
About the role
NVIDIA Research is looking for research interns to join the AI-Aided Engineering (AIE) team.
What you'll do
- Research, design, and implement novel AI methods for physical simulation and engineering design.
- Work collaboratively with your team, mentor, and other researchers.
- Collaborate with product groups to transfer research into practical applications.
What you'll need
- Pursuing a PhD in Computer Science, Applied Mathematics, Physics, Engineering, or a related field.
- Strong research track record and the ability to develop and evaluate new ideas.
- Excellent Python programming skills and experience with PyTorch or a comparable framework.
- Strong expertise in computational fluid dynamics (CFD) including running numerical solvers and analyzing simulation results, or CAD/NURBS-based geometric modeling and geometry processing.
- Proven track record training large language models, vision transformers, or other large-scale neural networks.
Skills: AI methods, physical simulation, engineering design, neural operators, large-scale deep learning
This role has been open 0 days — well below the 75-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
521
|
Median days open
75 d
|
Median salary
$235k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (521 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 92 | 521 |
| Open roles in the wider Software, Firmware & Systems family | 964 | 6063 · 146 employers |
| Median days open | 57 d | 75 d (−18 d vs this employer) |
| Median salary (USD postings) | — | $235k |
Skills observed across this category: AI methods, physical simulation, engineering design, neural operators, large-scale deep learning
Who's hiring in this category
- Qualcomm · 100 open roles · median 112 d
- NVIDIA (this employer) · 89 open roles · median 51 d
- AMD · 41 open roles · median 71 d
- Micron Technology · 30 open roles · median 60 d
- Mobileye · 19 open roles · median 70 d
- Analog Devices · 16 open roles · median 33 d
How we counted: 521 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 8 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.
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