Description
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.
Responsibilities:
- 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.
Requirements:
- 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.
- 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.
The base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 192,000 USD – 304,750 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5. You will also be eligible for equity and benefits.