PhD Research Intern, Programming Systems - 2027 - CA, Santa Clara, United States
$38 - $94 USD yearly
Originally posted 30 September 2026 by the employer.
Join NVIDIA's programming systems research team to equip programmers with tools for parallel computing systems.
About the role
This role involves inventing innovative parallel algorithm techniques, expressive parallel programming models/languages, powerful code analysis & generation tools, and scalable runtime environments.
What you'll do
- Invent new techniques, technologies, methodologies, and processes to enable new products.
- Produce technology vision and the basis for products 5-10 years out.
What you'll need
- Pursuing a PhD Degree in CS, CE, EE, Physics, or Math.
- Strong programming ability in C, C++, Python, and/or Rust.
- Track record of research contributions in programming languages, compilers, runtime systems, parallel algorithms, or formal verification.
- Published academic papers in your field of research.
Nice to have
- Expertise in applying programming system insights and techniques to problems in machine learning, data science, and/or distributed computing.
- Expertise in using AI to author, optimize, verify, and maintain software.
- Proven ability to implement your ideas to run on the GPU.
- Experience building software systems used by other developers.
Skills: parallel computing systems, parallel programming models, code analysis & generation tools, accelerated computing platform, GPU
This role has been open 8 days — well below the 56-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · GPU Software Stack
|
Open roles in category
238
|
Median days open
56 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (238 roles · 19 employers) |
|---|---|---|
| Open roles in this specialty | 121 | 238 |
| Open roles in the wider Software, Firmware & Systems family | 966 | 6078 · 146 employers |
| Median days open | 50 d | 56 d (−6 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: parallel computing systems, parallel programming models, code analysis & generation tools, accelerated computing platform, GPU
Who's hiring in this category
- NVIDIA (this employer) · 124 open roles · median 51 d
- AMD · 56 open roles · median 58 d
- Qualcomm · 19 open roles · median 168 d
- Intel Corporation · 15 open roles · median 1 d
- Arm Holdings · 5 open roles · median 106 d
- d-Matrix · 2 open roles · median 114 d
How we counted: 238 open Infrastructure/Platform Software (GPU Software Stack) roles from 19 employers tracked in the SemiconductorJobs index, counted 9 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.