PhD Research Intern, System Software and I/O Architecture - Fall 2026

About the role#

NVIDIA is seeking a PhD Research Intern to focus on System Software and I/O Architecture for the Fall 2026 term. This role contributes to the development of fast, scalable storage access for GPU threads, requiring co-optimization of architecture, runtime systems, operating systems, and compilers to improve throughput and energy efficiency.

What you'll do#

• Develop novel architectures and system software implementations for scalable multi-GPU platforms.
• Analyze the interplay between applications, operating systems, and CPU/GPU architectures.
• Collaborate with cross-functional teams across software research, hardware engineering, and product groups.
• Publish original research and present findings at conferences and events.

What you'll need#

• Current enrollment in a Ph.D. program in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
• Research experience in computer architecture, operating systems, system administration, compilers, or high-performance computing (HPC).
• Experience designing and optimizing accelerated computing applications, including areas like LLM inference, GPU-native database engines, or vector similarity search algorithms.
• Proficiency in experimental computer architecture research and software infrastructure development.
• A track record of well-documented open-source software releases.
• Experience working with emerging workloads such as recommender systems, graph analytics, and data frames.

Location & details#

• Locations: Santa Clara, CA; Champaign, IL; or remote.
• Term: Fall 2026.
• Status: Full-time, paid internship.
• Compensation: Hourly rate between 30 USD and 94 USD, depending on location, degree, and experience.
• Eligibility: Applicants must be authorized to work without sponsorship.