15 hours ago
Shanghai, China +2 moreEntry Level
Responsibilities
- Develop deep learning, graph, machine learning, and data analytics techniques.
- Analyze and optimize AI workloads for current and next-generation GPU architectures.
- Work directly with customers to understand their problems and provide AI solutions using GPUs.
- Collaborate with architecture, research, libraries, tools, and system software teams on future architectures, software platforms, and programming models.
- Travel to conferences and customer sites as needed.
Requirements
- Bachelor’s degree in engineering or a computer science-related discipline, or equivalent experience; MS or PhD preferred.
- At least 2 years of experience.
- Strong knowledge of C/C++, software design, programming techniques, and AI algorithms.
- Strong English verbal and written communication, organization, problem-solving, time-management, and task-prioritization skills.
Benefits
- Competitive salary and comprehensive benefits package.
- Some travel is required for conferences and on-site customer visits.
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.