2 days ago
Taipei, TaiwanIntern
H1B Sponsor
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
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.