Research Scientist, ML Systems
NVIDIA
This job at a glance
- Who can apply
- New grads, no experience needed
- Must know
- Machine learningData structures & algorithmsNetworkingPythonC++C
- Work
- On-site in Westford
- Pay
- Not stated by the employer.
- Skill demand
- Python35%Machine learning26%Data structures & algorithms10%Networking1%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 7, 2026 · still open
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About the Role
Research Scientist, ML Systems - PhD New College Grad 2026 at NVIDIA. Contribute to the development of hardware, software, and infrastructure technology for ML systems of all scales. Advances in AI/ML rely on efficient, scalable, resilient, and trustworthy systems for training, fine-tuning, and serving ML models.
Key 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 & Tech Stack
- 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
- Recent graduate with a Ph.D. in CS/CE/EE.
- Strong background in operating systems, distributed systems, inference and training systems, data management systems, networking, cloud computing, and/or computer architecture (or equivalent experience).
- Demonstrated expertise in one specific area with the ability to become the go-to resource within a team.
- A strong publication, patent, and research collaboration history is a huge advantage.