NVIDIA 2027 Internships: Deep Learning Computer Architecture

NVIDIA offers a 12-week full-time internship in Deep Learning Computer Architecture. As an intern, you will work on projects with a measurable impact on the business.

To be considered, you 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. Your anticipated graduation date must be clearly indicated on your resume or CV.

We require experience in one or more of 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

Prior experience or knowledge requirements may include the following programming skills and technologies:

• C, C++, Perl, CUDA, GPU Computing (CUDA, OpenCL, OpenACC), Deep Learning Frameworks (PyTorch, TensorFlow, Caffe), HPC (MPI, OpenMP)

The hourly rate for our interns is $20 - $71 per hour. You will also be eligible for Intern benefits.