Senior Research Scientist, System Software and I/O Architecture

NVIDIA; Santa Clara (CA); On-site; USD 192,000 - 356,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Research Scientist specializing in System Software and I/O Architecture in Santa Clara, CA. The role focuses on developing scalable systems for high throughput and energy efficiency, requiring a Ph.D. and extensive experience in computer architecture and operating systems.

Ideal candidates will have demonstrated expertise in system software, GPU architecture, and CUDA programming, alongside strong interpersonal skills. Competitive salaries are provided based on experience and location.

Qualifications

• Proven track record of research excellence.
• 5+ years of experience in computer architecture or operating systems.
• Demonstrated expertise in specific areas like CPU/GPU architectures.

Responsibilities

• Develop novel architectures for scalable multi-GPU platforms.
• Analyze interplay between operating systems and architectures.
• Collaborate with teams across software research and hardware engineering.

Skills

CUDA programming

C++

Python

System architecture

Performance analysis

Education

Ph.D. in CE/CS/EE or equivalent

Tools

MPI

NACL

Job description

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.

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

• 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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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.

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.