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.
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.
Qualifications
Ph.D. in Computer Science, Electrical Engineering, or a related field.
Strong publication record and research collaboration history.
Expertise in one specific area of AI/ML systems, operating systems, distributed systems, data management systems, networking, cloud computing, or computer architecture.
Experience with experimental research and development.
Experience with C, C++, Python, and/or scripting languages.
Experience with AI tools for analysis, design, and code development.
Skills
Systems research skills.
Ability to work collaboratively with cross-functional teams.
Excellent communication and presentation skills.
Benefits
Comprehensive benefits package including health insurance, retirement plans, and paid time off.
Pay
$168,000 - $264,500 USD
Schedule
Full-time