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Research Scientist - Platform Architecture and Runtime Systems at Nvidia Corporation

Posted in General Business 30+ days ago.

Type: Full-Time
Location: Santa Clara, California





Job Description:


We are now looking for a Research Scientist with a focus in Platform Architecture and Runtime Systems.

We are now looking for a Research Scientist with a focus in Platform Architecture and Runtime System to contribute to the development of future scalable multi-GPU platforms. Scalable systems in a post-Moore world require co-optimization of architecture, runtime systems, operating systems, and compilers, to achieve high throughput while improving energy efficiency. We are seeking candidates with a proven track record of research excellence, systems-building experience, a broad perspective across the field of computer architecture, and depth in data parallel architectures or operating and runtime systems. NVIDIA has pioneered programmable GPUs and the CUDA language, and is a world leader in high-performance and mobile computing technology, with ambitious plans for future processors. This position offers you the opportunity to have a real impact in a multifacited, technology-focused company.

What you'll be doing:


  • Develop novel architectures and system software implementations to enable scalable multi-GPU platforms.


  • Understand and analyze the interplay between operating systems, CPU and GPU architectures, and efficient algorithm designs.


  • Collaborate with a diverse set of teams across the company, spanning software, research, hardware engineering, and product groups.


  • Publish original research and speak at conferences and events.


What we need to see:


  • You have a Ph.D. in CE/CS/EE or equivalent experience with a strong background and work experience in computer architecture, operating systems, compilers, and/or HPC. A strong publication, patent, and research collaboration history is a huge advantage.


  • Demonstrated expertise in one specific area with the ability to become the go-to resource within a team from differing backgrounds.


  • Experience with experimental computer architecture development and evaluation.


  • Experience with C, C++, Python, and scripting languages.


  • Strong interpersonal skills are needed and being a creative and dynamic presenter is a huge advantage.


​NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-looking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.





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