1 day ago
Shanghai, China or Shenzhen, ChinaIntern
Responsibilities
- Research, design, implement, and debug software features that help customers meet performance targets.
- Develop and fix software related to VLA and autonomous driving.
- Develop solutions for DNN model acceleration, optimization, and deployment.
- Work on different tasks and challenges as needed within the China TSE Deep Learning team.
Requirements
- Pursuing a BS or MS degree in Computer Science, Electrical Engineering, or a related field.
- Demonstrated fundamentals in C++ and Python programming, software design, and debugging.
- Strong knowledge of machine learning and deep learning techniques for computer vision and autonomous driving.
- Self-motivated, eager to learn, and willing to adapt to different tasks and challenges.
- Located in Shanghai or Shenzhen, or willing to work in one of those locations.
- DNN development and network acceleration experience is highly desired.
- Familiarity with GPU computing, NVIDIA CUDA, and NVIDIA TensorRT is desirable.
Categories
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.