NVIDIA
PhD Research Intern, Architecture – 2027
US, CA, Santa Clara +2 · Internship · Posted Oct 12, 2026
- Location
- US, CA, Santa Clara
US, MA, Westford
US, WA, Seattle - Experience
- Relevant industrial and university experience; no number of years stated.
- Education
- Pursuing PhD degree in relevant discipline(s) (CS, CE, EE, Physics, Math).
About the job
Conduct architecture research and develop and evaluate hardware–software concepts, models, and prototypes for future GPUs, accelerators, memory systems, and data-center computing.
What you'll do
- Investigate architecture concepts and analyze emerging workloads for bottlenecks and opportunities.
- Develop models, simulators, prototypes, and experimental tools to evaluate ideas.
- Collaborate with research and product teams, communicate findings, and help transfer successful work into products.
What they ask for
- Pursuing a PhD in a relevant discipline (CS, CE, EE, Physics, Math).
- Strong programming ability in C/C++ and scripting languages; experience as a CUDA programmer.
- Background building computer system simulators.
- Strong background in computer architecture and parallel computer architectures.
Nice to have
- Prior research experience and/or publications at ISCA/MICRO/ASPLOS/HPCA/MLSYS.
- Versatility with generative AI coding tools, GPU profiling tools, and running DL models on GPUs.
Pay
38 USD - 94 USD per hour (intern hourly pay)
Tools
C/C++, CUDA
AI focus
Research architecture implications of AI workloads and specialized hardware for emerging applications; generative AI coding tools are a preferred skill. NVIDIA also uses AI tools in its recruiting processes.
Model-written summary · the original posting is authoritative