Research Scientist, ML Systems - PhD New College Grad 2026

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.

What You’ll Be Doing

• Understand and analyze the efficiency, scaling, and resilience challenges in ML systems, algorithms, and applications.
• Develop creative systems solutions (hardware, software, infrastructure) for future ML systems of all scales.
• Contribute to the co-design of next‑generation AI/ML algorithms and systems.
• Collaborate with a diverse set of research and product teams across the company, spanning software, hardware, AI, and networking.
• Publish original research and speak at conferences and events.

What We Need To See

• Recent graduate with a Ph.D. in CS/CE/EE with a strong background in operating systems, distributed systems, inference and training systems, data management systems, networking, cloud computing, and/or computer architecture (or equivalent experience). A strong publication, patent, and research collaboration history is a huge advantage.
• Demonstrated expertise in one specific area with the ability to become the go‑to resource within a team having varied backgrounds.
• Background with experimental research and development.
• Experience with C, C++, Python, and/or scripting languages.
• Experience with using AI tools for analysis, design, and code development.

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