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Salary
≈ $20k – $39k per year (Estimated)
Location
In office (Shanghai, Beijing)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 23, 2026. NVIDIA scores B on the Alion truth index.

Overview
Company
Impact
Profile match
NVIDIA is an American technology company founded in 1993 that invented the graphics processing unit and has become the dominant supplier of accelerated computing platforms for artificial intelligence. Its portfolio spans data centre GPUs and systems built on the Hopper and Blackwell architectures, GeForce consumer graphics, automotive and robotics platforms, high-speed networking acquired with Mellanox, and the CUDA software stack that binds the ecosystem together. Headquartered in Santa Clara, California, the company sells to cloud providers, enterprises, research institutions and gamers worldwide and is one of the most valuable listed businesses on the Nasdaq.

We are now looking for Computer Architecture Interns in our group!

The NVIDIA Architecture group is looking for world class architects and computer science interns to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for parallel processing algorithms. We are constantly looking for ways to improve our GPU architecture and maintain our leadership by developing new parallel programming models, new architectures and new infrastructure that is required to make this successful.

What you'll be doing:

  • Enhance GPU architecture to extend the state of the art in performance, efficiency, programmability and reliability

  • Analyze, tune and prototype key applications for new GPU architectures

  • Build model to predict performance, power and reliability on future architecture

  • Design and develop tools to analyze, simulate, validate, and verify application performance and energy consumption

  • Collaborate across the company to guide the direction of GPU computing, working with software, research and product team

What we need to see:

  • MS Degree in relevant discipline (CS, EE, Math). PhD helpful

  • Expert programming skills in C or C++

  • Strong background in computer architecture, parallel processing, signal processing and/or high performance computing

  • Experience in characterizing and modeling system-level performance or power, executing comparison studies, and documenting and publishing results

Ways to stand out from the crowd:

  • Optional/Plus -- Background in computer vision, machine learning, or any HPC domain

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