PhD Research Intern, System Software and I​/O Architecture - Fall

We are now looking for a PhD Research Intern with a focus in System Software and I/O Architecture.

NVIDIA is seeking a Research Intern 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, inference and database GPU systems, 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 application, 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.

• Currently pursuing a Ph.D. in CE/CS/EE or a similar program area.
• Research experience in computer architecture, operating systems, system administration, compilers, and/or HPC.
• Research experience designing and optimizing accelerated computing applications, with expertise in areas such as LLM inference, GPU‑native database engines, and vector similarity search algorithms.
• 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.
• Ability to work with emerging workloads such as recommender systems, graph analytics, and data frames.

• Experience with C, C++, CUDA, Python, Rust, and scripting languages. MPI and NCCL would be a plus.
• Strong interpersonal skills and being a creative and dynamic presenter is a huge advantage.
• A strong publication, patent, presentation, and research collaboration history is highly valuable.

Internship hourly rates range from 30 USD to 94 USD, adjusted based on the position, location, year in school, degree, and experience. Interns are also eligible for standard benefits.

NVIDIA is committed to fostering an inclusive work environment and proudly identifies as an equal opportunity employer. We do not discriminate 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.