Research Scientist, ML Systems - PhD New College Grad 2026
$168k - $265k • Remote • US, CA, Santa Clara
Posted 1d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
Machine Learning Engineer
About the job
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. We are seeking candidates that have 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, cloud computing, and computer architecture.
Responsibilities
- Analyze efficiency, scaling, and resilience challenges in ML systems, algorithms, and applications.
- Develop systems solutions (hardware, software, infrastructure) for ML systems.
- 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
- 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.
- Demonstrated expertise in a specific area with the ability to become a go-to resource.
- Background with experimental research and development.
- Experience with C, C++, Python, and/or scripting languages.
- Experience using AI tools for analysis, design, and code development.
Benefits
- Equity
- Benefits
