2 months ago
Shanghai, China +2 moreIntern
Responsibilities
- Develop deep learning, graph, machine learning, and data analytics techniques.
- Analyze and optimize performance for current and next-generation GPU architectures.
- Provide GPU-based AI solutions while working directly with key customers.
- Collaborate with architecture, research, libraries, tools, and system software teams on future architectures, software platforms, and programming models.
Requirements
- Pursuing an MS or PhD in engineering or a computer science-related discipline.
- Strong knowledge of C/C++, software design, programming techniques, and AI algorithms.
- Experience with parallel programming, ideally CUDA C/C++.
- Strong communication, organization, problem-solving, time-management, and task-prioritization skills.
Benefits
- Preferred internship duration is 4+ months.
- NVIDIA is an equal opportunity employer committed to a diverse work environment.
Tech Stack
CC++
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.