NVIDIA 2027 Internships: Deep Learning Computer Architecture
$0k - $0k • US, CA, Santa Clara
Posted 7d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
On-site
Categories
Machine Learning Engineer
About the job
NVIDIA is seeking strategic, ambitious, hard-working, and creative individuals for its 2027 Deep Learning Computer Architecture internships. This 12-week full-time program offers an excellent opportunity to expand your career and gain hands-on experience with industry-leading Deep Learning Computer Architecture teams. Interns will work on projects with a measurable impact on NVIDIA's business, tackling complex challenges in AI and digital twins that are transforming major industries.
Responsibilities
- Work on projects with a measurable impact on NVIDIA's business.
- Gain hands-on experience with Deep Learning Computer Architecture teams.
Requirements
- Must be actively enrolled in a university pursuing a B.S., M.S., or Ph.D. degree in Electrical Engineering, Computer Engineering, or a related field for the full duration of the internship.
- Anticipated graduation date (month and year) must be clearly indicated on a resume or CV.
- Experience in one or more of these Focus Areas: GPU Architecture, CPU Architecture, Deep Learning, GPU Computing, Parallel Programming, or High-Performance Computing Systems.
- Experience with Modelling/Performance Analysis, Parallel Processing, Neural Network Architectures, GPU Acceleration, Deep Learning Neural Networks, or Compiler Programming.
- Experience with Performance Modeling, Profiling, Optimizing, and/or Analysis.
- Prior experience or knowledge requirements could include C, C++, Perl, CUDA, GPU Computing (CUDA, OpenCL, OpenACC), Deep Learning Frameworks (PyTorch, TensorFlow, Caffe), or HPC (MPI, OpenMP).
Benefits
- Internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience.
- Eligible for Intern benefits.