Research Scientist, ML Systems - PhD New College Grad 2026

NVIDIA Research seeks a recent graduate to research machine learning systems (MLSys) across hardware, software, and infrastructure. The work addresses efficient, scalable, resilient, and trustworthy systems for training, fine-tuning, and serving ML models, from personal devices to warehouse-scale data centers.

Responsibilities

• Analyze efficiency, scaling, and resilience challenges in ML systems, algorithms, and applications.
• Develop hardware, software, and infrastructure solutions for future ML systems, and co-design AI/ML algorithms and systems to improve performance, energy efficiency, and scalability.
• Collaborate with research and product teams across software, hardware, AI, and networking. Publish original research and speak at conferences and events.

Qualifications

• Recent graduate with a Ph.D. in computer science, computer engineering, or electrical engineering, or equivalent experience. A strong background in one or more of operating systems, distributed systems, inference and training systems, data management systems, networking, cloud computing, and computer architecture is required.
• Demonstrated expertise in a specific area, a background in experimental research and development, experience with C, C++, Python, and/or scripting languages, and experience using AI tools for analysis, design, and code development.
• A strong history of publications, patents, and research collaboration is a significant advantage.

The full-time role lists Santa Clara, California; Westford, Massachusetts; Austin, Texas; and Seattle, Washington. The base salary range is 168,000 USD–264,500 USD, determined by location, experience, and comparable employee pay. Equity and benefits are also offered. The posting states that applications will be accepted at least until January 13, 2026.