NVIDIA 2026 Internships: Deep Learning Computer Architecture - US

United States

Full-time

Remote

New Grad

NVIDIA is a pioneer in accelerated computing, transforming industries through AI and digital twins. They are offering internships in Deep Learning Computer Architecture, where students will work on impactful projects and gain hands-on experience in the field.

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Responsibilities

By submitting your resume, you’re expressing interest in one of our 2026 Deep Learning Computer Architecture Internships
We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities
Throughout the 12-week minimum full-time internship, students will work on projects that have a measurable impact on our business
Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship

Qualification

Required

Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship
Course or internship experience related to Computer Architecture experience in one or more of these focus areas: GPU Architecture, CPU Architecture, Deep Learning, GPU Computing, Parallel Programming, or High-Performance Computing Systems
GPU Computing (CUDA, OpenCL, OpenACC), GPU Memory Systems, Deep Learning Frameworks (PyTorch, TensorFlow, Keras, Caffe), HPC (MPI, OpenMP)
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 could include the following programming skills and technologies: C, C++, Python, Perl, GPU Computing (CUDA, OpenCL, OpenACC), Deep Learning Frameworks (PyTorch, TensorFlow, Caffe), HPC (MPI, OpenMP)