> Markdown version of [/jobs/ext/4312178-nvidia-2027-internships-deep-learning-computer-architecture](https://www.wearedevelopers.com/jobs/ext/4312178-nvidia-2027-internships-deep-learning-computer-architecture). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# NVIDIA 2027 Internships: Deep Learning Computer Architecture

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Salary:** $41,600.0 - $147,680.0
- **Contract:** Internship / Graduate position
- **Skills:** C (Programming Language), Artificial Intelligence, Artificial Neural Networks, C++ (Programming Language), Profiling, Nvidia CUDA, Computer Programming, Computer Engineering, Microarchitecture, Perl (Programming Language), General-Purpose Computing on Graphics Processing Units, OpenMP, OpenCL, Tensorflow, Graphics Processing Unit (GPU), High Performance Computing, Pytorch, Caffe, Deep Learning, Parallel Computation
- **Published:** October 17, 2026
- **Apply:** https://www.wayup.com/i-Technology-j-NVIDIA-2027-Internships-Deep-Learning-Computer-Architecture-NVIDIA-865078292322164/

## About the Role

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. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Deep Learning Computer Architecture teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.
Throughout the 12-week full-time internship, students will work on projects that have a measurable impact on our business. We're looking for students pursuing a B.S., M.S., or Ph.D. degree within a relevant or related field.
What we need to see:

 + 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 to be considered.
Course or internship experience related to the following areas could be required:

 + Experience in one or more of these Focus 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 requirements couldinclude the following programming skills and technologies: C, C++, Perl, CUDA, GPU Computing (CUDA, OpenCL, OpenACC), Deep Learning Frameworks (PyTorch, TensorFlow, Caffe), HPC (MPI, OpenMP)

## Description

By submitting your resume, you acknowledge that your 2027 Deep Learning Computer Architecture internship application will be processed in accordance with NVIDIA's Applicant Privacy Policy and you agree to our Terms of Service. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.