Computer Architecture Intern - 2026 at NVIDIA

Beijing, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

04 Jun, 26

Salary

0.0

Posted On

06 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C, C++, Computer Architecture, Parallel Processing, High Performance Computing, Performance Modeling, Power Modeling, Reliability Modeling, GPU Architecture, Simulation, Validation, Verification

Industry

Computer Hardware Manufacturing

Description

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: Pursuing 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 #deeplearning NVIDIA is the world leader in accelerated computing. 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. Learn more about NVIDIA.

Responsibilities

Interns will be responsible for enhancing GPU architecture to advance state-of-the-art performance, efficiency, and reliability, while also analyzing, tuning, and prototyping key applications for new GPU architectures. Key tasks include building models to predict future architecture performance and designing tools for application performance and energy consumption analysis.