Research Scientist, ML Systems - PhD New College Grad 2026

at Nvidia

📍 Santa Clara, United States

USD 168,000-264,500 per year

JUNIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 Algorithms @ 3 Cloud Computing @ 6 Distributed Systems @ 6 Machine Learning @ 8 Networking @ 6 Python @ 3

Details

NVIDIA Research is seeking an exceptional Research Scientist, New Graduate, with a focus on Machine Learning Systems (MLSys). The role contributes to the development of hardware, software, and infrastructure technologies for machine learning systems of all scales.

Advances in AI and machine learning rely on efficient, scalable, resilient, and trustworthy systems for training, fine-tuning, and serving models. The role involves co-designing and co-optimizing all layers of AI systems to maximize performance and energy efficiency, improve scalability, and support emerging algorithms. Areas of focus may include AI/ML systems, operating systems, distributed systems, data management, cloud computing, networking, and computer architecture.

Responsibilities

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

Requirements

Recent Ph.D. graduate in computer science, computer engineering, electrical engineering, or equivalent experience.
Strong background in one or more of the following areas: operating systems, distributed systems, inference and training systems, data management systems, networking, cloud computing, and computer architecture.
Strong publication, patent, and research collaboration history is a significant advantage.
Demonstrated expertise in one specific area and the ability to become a go-to resource within a team with varied backgrounds.
Background in experimental research and development.
Experience with C, C++, Python, and/or scripting languages.
Experience using AI tools for analysis, design, and code development.

Compensation And Benefits

Base salary range: $168,000-$264,500 USD per year, determined based on location, experience, and compensation of employees in similar positions.
Eligible for equity and benefits.
Applications will be accepted at least until January 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is an equal opportunity employer committed to a diverse work environment.