NVIDIA is seeking a research scientist/engineer to contribute to the development of Nemotron models, focusing on open-source generative AI. The role involves working at the intersection of research and engineering to create next-generation post-training pipelines. Candidates will engage in synthetic data research, data infrastructure implementation, and large-scale model post-training. This position offers the opportunity to publish findings and collaborate with industry leaders.

• Master's or PhD degree in computer science, machine learning, or other quantitative domains.
• 5+ years of working or research experience in model mid-training/post-training, reinforcement learning, and agentic systems.
• Hands-on experience in data curation and model training for agentic and reasoning capabilities.
• In-depth experience in using or developing inference and deployment environments such as vLLM, SGLang, or TRT-LLM.

• Contribute to the post-training of Nemotron models.
• Engage in synthetic data and algorithmic research for agentic reinforcement learning.
• Implement data and training infrastructure.
• Collaborate in vendor data acquisition and experimentation.
• Solve large-scale, end-to-end foundation model post-training challenges.
• Publish and present results at academic and industry conferences.

• 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.