NVIDIA-posted 9 days ago
Full-time • Senior
Champaign, CA
5,001-10,000 employees

We are now looking for a Research Scientist with a focus in System Software and I/O! NVIDIA is seeking Research Scientists with a focus in System Software and System I/O Architecture to contribute to the development of future fast, scalable storage accesses by GPU threads. 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 system software, depth in I/O system software, I/O systems architectures, deep knowledge in GPU architecture, proficiency in CUDA programming, programming large-scale clusters, and experience in profiling and system performance analysis tools. NVIDIA has pioneered programmable GPUs and the CUDA language, and is a world leader in high-performance and AI computing technology, with ambitious plans for future processors. This position offers you the opportunity to have a real impact in a multifaceted, technology-focused company.

  • 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.
  • A Ph.D. in CE/CS/EE or equivalent experience with a strong background
  • 5+ years of research work experience in computer architecture, operating systems, system administration, compilers, and/or HPC.
  • A strong publication, patent, presentation, and research collaboration history is a huge advantage.
  • Demonstrated expertise in one specific area of the above topics with the ability to become the go-to resource within a team from differing backgrounds.
  • Experience with experimental computer architecture research, software infrastructure development and evaluation.
  • A track record of well-documented open-source software release.
  • Experience with C, C++, CUDA, Python, and scripting languages.
  • MPI and NACL would be a plus.
  • Strong interpersonal skills are needed and being a creative and dynamic presenter is a huge advantage.
  • Ability to work with emerging workloads such as recommender systems, graph analytics, and data frames.
  • You will also be eligible for equity and benefits
  • Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
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