Research Scientist, ML Systems - New College Grad 2025

Details

We are now looking for a Research Scientist New Graduate with a focus on Machine Learning Systems (MLSys). 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 datacenters. 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. NVIDIA has pioneered programmable GPUs and the CUDA ecosystem, and is a world leader in accelerated computing and AI systems, with aggressive plans for future system developments. This position offers you the opportunity to have a real impact in a dynamic, technology-focused company.

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

• You have a Ph.D. in CS/CE/EE with a strong background in operating systems, distributed systems, training/inference 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.
• Experience with experimental research and development.
• Experience with C, C++, Python, and/or scripting languages.
• Strong communication skills needed. Being a creative and dynamic presenter is a big advantage.

NVIDIA has continuously reinvented itself over two decades. This is our life’s work — to amplify human imagination and intelligence. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employer. We have some of the most forward-thinking and hardworking people in the world working for us and, due to extraordinary growth, our elite engineering teams are fast-growing fast. If you're a creative and autonomous researcher with a passion for technology, we want to hear from you!