2 months ago
Taipei, TaiwanIntern
Responsibilities
- Perform data analytics and in-depth performance analysis and optimization for current and next-generation GPU architectures.
- Work directly with key customers to understand their current and future technical problems.
- Collaborate with architecture, research, libraries, tools, and system software teams on next-generation architectures, software platforms, and programming models.
Requirements
- Pursuing a bachelor's degree in engineering, computer science, or a related discipline; master's or PhD study is preferred.
- Demonstrated expertise in mathematical fundamentals, including linear algebra and numerical methods.
- Strong knowledge of Fortran and/or C/C++.
- Experience with parallel programming, ideally OpenACC and CUDA C/C++.
- Strong communication, organization, problem-solving, time-management, and task-prioritization skills.
Benefits
- Competitive salary and a generous benefits package.
- Equal opportunity employer committed to workplace diversity.
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.