Senior Research Scientist, System Software and I/O Architecture

NVIDIA Corporation; Santa Clara (CA); On-site; USD 192,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a Research Scientist focused on System Software and I/O to advance scalable storage accesses by GPU threads. You will develop new architectures and system software enabling multi-GPU platforms, and analyze OS/CPU/GPU interactions while collaborating across teams.

You will publish original research and present at conferences, with a strong track record in system software and GPU architecture required.

Qualifications

• PhD in CE/CS/EE or equivalent with strong background.
• 5+ years of research in computer architecture, OS, systems, compilers or HPC.
• Demonstrated expertise in a focused area with ability to be go-to resource.
• Experience with experimental computer architecture research and software infra development.
• Track record of well-documented open-source software release.
• Proficiency in C, C++, CUDA, Python and scripting languages; MPI/NACL a plus.

Responsibilities

• Develop novel architectures and system software for scalable multi-GPU platforms.
• Analyze interplay between OS, CPU and GPU architectures and algorithm design.
• Collaborate with software research, hardware engineering, and product teams.
• Publish original research and present at conferences and events.

Skills

Publication record

Cross-functional collaboration

Communication and presentation

Creative problem solving

Education

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

Tools

CUDA

C

C++

Python

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. 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.

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.

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

Your 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.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.