Research Scientist, ML Systems - PhD New College Grad 2026

About the role

NVIDIA Research is seeking exceptional systems researchers to contribute to the development of hardware, software, and infrastructure technology for ML systems of all scales. Advances in AI/ML heavily rely on the development of efficient, scalable, resilient, and trustworthy systems for training, fine-tuning, and serving ML models. AI/ML applications are also pushing the limits of both personal devices and warehouse-scale data centers. All layers of AI systems need to be co-designed and co-optimized to maximize performance and energy efficiency, improve scalability, and support emerging algorithms in this space.

Responsibilities

• 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.

Requirements

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.

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.

Qualifications

Exceptional systems researchers with a proven track record of research excellence, a broad perspective on systems design across the full hardware/software/infrastructure stack, and depth in one of the layers such as AI/ML systems, operating systems, distributed systems, data management systems, cloud computing, and computer architecture.

Skills

Strong publication, patent, and research collaboration history.

Expertise in one specific area with the ability to become the go-to resource within a team having varied backgrounds.

Benefits

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!

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.

Schedule

You will also be eligible for equity and benefits.