1 day ago
Shanghai, China or Beijing, ChinaIntern
Responsibilities
- Analyze GPU computing issues and develop test code.
- Write documentation describing issue analyses.
- Support GPU-accelerated AI solutions for autonomous driving and self-driving applications.
Requirements
- Pursuing a BS or higher degree in computer science, electrical engineering, computer engineering, or an equivalent field.
- Programming experience on Linux OS.
- Strong programming skills in C and C++; Python is a plus.
- Strong knowledge of Linux Shell and Makefile.
- Knowledge of popular inference networks and deep learning layers.
- Experience with the PyTorch framework.
- Good written and reading English skills.
- Familiarity with NVIDIA GPU hardware products such as Tesla, Jetson, and DGX is a plus.
- Working knowledge of NVIDIA GPU Computing, CUDA, and CUDA-X libraries for deep learning, especially CUDA, is a plus.
Benefits
- Internship based in Shanghai.
- NVIDIA is an equal opportunity employer and provides reasonable accommodations for individuals with disabilities.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.