NVIDIA 2027 Internships: Deep Learning Computer Architecture

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.

About the role

This 12-week full-time internship offers an excellent opportunity to expand your career and gain hands-on experience with one of our industry-leading Deep Learning Computer Architecture teams. Interns will work on projects that have a measurable impact on our business.

Requirements

• 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.
• Course or internship experience related to the following areas:
  • GPU Architecture, CPU Architecture, Deep Learning, GPU Computing, Parallel Programming, or High-Performance Computing
  • Systems Modelling/Performance Analysis, Parallel Processing, Neural Network Architectures, GPU Acceleration, Deep Learning Neural Networks, Compiler Programming
  • Performance Modeling, Profiling, Optimizing, and/or Analysis
• Depending on the internship role, prior experience or knowledge in the following programming skills and technologies may be required:
  • C, C++, Perl, CUDA
  • GPU Computing (CUDA, OpenCL, OpenACC)
  • Deep Learning Frameworks (PyTorch, TensorFlow, Caffe)
  • HPC (MPI, OpenMP)

Pay

The hourly rate for interns is $20 - $71 USD, based on the position, location, year in school, degree, and experience.

Benefits

Interns are eligible for intern benefits.