NVIDIA 2026 Computer Architecture Internships C...
@ NVIDIA

Beijing, Beijing, China
$50,000
On Site
Full Time
Posted 23 days ago

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Job Details

Overview

NVIDIA is inviting applicants for its 2026 Computer Architecture Internships in China. This role offers you the opportunity to work with industry leading teams and cutting-edge technologies. The internship is suited for students pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering or a related field.

What We Need To See

Candidates must be actively enrolled in a university and have course or internship experience in one or more of the following areas:

  • Computer Graphics, Deep Learning, Ray Tracing, Parallel Programming, Memory Architecture, or High-Performance Computing Systems
  • Digital Systems, VLSI Design, GPU or CPU Architecture, Computer Arithmetic, CMOS Transistors and Circuits
  • Hardware Control Programming, GPU Acceleration, Parallel Processing (CUDA), High-Performance Computing (HPC), Embedded Systems

Essential Programming Skills and Technologies

Depending on the specific internship role, experience or knowledge in the following is required:

  • Verilog, SystemVerilog, VHDL
  • Linux, C, C++, Python, Perl
  • Modern Graphics APIs such as DirectX, OpenGL, Vulkan
  • GPU Computing with CUDA or OpenCL
  • Revision Control tools like Perforce, Git
  • HPC technologies such as MPI, OpenMP

About NVIDIA

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Its work in AI, digital twins, gaming, robotics, self-driving cars, healthcare, and climate change continuously transforms major industries.

Key skills/competency

Computer Architecture, Deep Learning, Parallel Programming, GPU Computing, VLSI, Digital Systems, System Design, C/C++, Linux, Verilog

How to Get Hired at NVIDIA

🎯 Tips for Getting Hired

  • Customize your resume: Highlight your relevant computer architecture skills.
  • Showcase academic projects: Include university projects and internships.
  • Research NVIDIA: Understand their accelerated computing innovations.
  • Prepare for technical interviews: Review system design and programming challenges.

📝 Interview Preparation Advice

Technical Preparation

Review hardware description languages and system design.
Practice parallel programming and GPU computing.
Study Linux environment and revision control.
Brush up on deep learning and graphics APIs.

Behavioral Questions

Describe a challenging project scenario.
Discuss a time you worked in a team.
Explain how you handle tight deadlines.
Share a situation where you solved complex problems.

Frequently Asked Questions