NVIDIA
NVIDIA 2027 Internships: Deep Learning Computer Architecture
US, CA, Santa Clara · Internship · Posted Oct 12, 2026
- Experience
- No number of years specified; course or internship experience may be required, depending on the role.
- Education
- Currently pursuing a B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, or a related field.
About the job
Work on impactful projects with NVIDIA's Deep Learning Computer Architecture teams during a 12-week, full-time internship.
What you'll do
- Contribute to projects in deep learning computer architecture and related focus areas.
- Model, profile, optimize, or analyze performance, depending on the internship role.
What they ask for
- Be actively enrolled for the full internship in a B.S., M.S., or Ph.D. program in Electrical Engineering, Computer Engineering, or a related field.
- Clearly indicate anticipated graduation month and year on the resume or CV.
- Course or internship experience in one or more listed focus areas may be required, depending on the role.
Pay
20 USD - 71 USD per hour; hourly rate
Tools
C, C++, Perl, CUDA, OpenCL, OpenACC, PyTorch, TensorFlow
AI focus
Internship work is with Deep Learning Computer Architecture teams and may involve deep learning, neural network architectures, or related areas. NVIDIA also states it uses AI tools in recruiting.
Model-written summary · the original posting is authoritative