2 days ago
Beijing, ChinaIntern
Responsibilities
- Develop features and tools supporting NVIDIA enterprise services and solution engineering efforts.
- Research GPU use cases involving emerging container technologies and deep learning frameworks.
- Collaborate with global teams to triage issues and develop AI solutions.
- Improve the availability, reliability, and user experience of deep learning framework containers on NVIDIA GPUs.
- Analyze and resolve critical customer issues using communication and problem-solving skills.
Requirements
- Master’s degree or higher in computer science, electrical engineering, computer engineering, or a related field.
- Strong computer science fundamentals and excellent knowledge of C/C++ or Python.
- Intellectual curiosity, flexibility, analytical ability, self-motivation, and a team-oriented approach.
- Professional-level communication and interpersonal skills.
- Preferred experience developing, triaging, and debugging on Linux, containers, and deep learning frameworks.
- Preferred experience with distributed systems, especially container orchestrators, and system-level debugging and triage.
Benefits
- Internship opportunity with NVIDIA’s NVIDIA Experience team in a diverse and supportive work environment.
Tech Stack
Categories
BackendSolutions Engineering
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.