The Senior Research Scientist role at NVIDIA focuses on Large Language Models (LLM) and Diffusion Language Models (DLM) with an emphasis on post-training and system optimization. The team is dedicated to advancing algorithms and building efficient large-scale systems for generative AI. Candidates will collaborate with world-class researchers and engineers to translate innovative ideas into production-ready implementations. This position offers an opportunity to contribute to cutting-edge research and real-world deployment in AI.

• PhD in Computer Science, Electrical Engineering, or related field, or equivalent research experience in LLMs, systems, or related areas.
• 2+ years of experience in machine learning, systems, distributed computing, or large-scale model training.
• Proficiency in Python with hands-on experience in frameworks such as PyTorch.
• Solid background in computer science fundamentals including algorithms, data structures, parallel/distributed computing, and systems programming.
• Proven ability to collaborate across research and engineering teams in multifaceted environments.

• Design and implement post-training algorithms for LLMs and DLMs.
• Drive efficiency and scalability improvements across training pipelines and serving systems.
• Collaborate with researchers to translate cutting-edge ideas into production-ready implementations.
• Explore new paradigms for evaluation.
• Demonstrate strong engineering practices and contribute to open-source communities.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.