GPU Computing Software Engineering Intern, Autonomous Driving - 2027
NVIDIA· Intern
Hybrid (Shanghai), Hybrid (Beijing)internPosted 4d ago
About the role
Intern position focused on CPU computing within NVIDIA's autonomous driving AI initiatives, based in Shanghai and Beijing, on-site. Responsibilities include analyzing GPU computing issues, writing test code, and documenting analysis.
Responsibilities
- Analyze the GPU computing issues and write some test code for them.
- Write some documentation about the analysis of the issue.
Qualifications
- Pursuing BS or higher degree in CS/EE/CE or equivalent.
- Good programming experience on Linux OS.
- Good programming skills in C and C++, Python is a plus.
- Strong knowledge about Linux Shell and Makefile.
- Have knowledge about the popular inference network and Deep Learning layers.
- Experience with deep learning PyTorch framework.
- Good at read and written in English.
Skills
Required:LinuxC and C++Linux ShellMakefileDeep Learning / PyTorch
Nice to have:Python
Last updated Oct 23, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
More open roles at NVIDIA
- Senior Physical Verification Engineer4d agoEngineer, ASIC
- Senior System Software Engineer, Display Security4d agoEngineer, Sys SW
- Senior FPGA Prototyping Engineer - Hardware4d agoSanta Clara, CA · Engineer, ASIC
- Senior Product Engineer4d agoHybrid (Thailand) · Engineer, Product Development
- Senior Architect - Data Processing Systems, Analytics and Data Intelligence4d agoHybrid (Remote / Local) · Architect