Senior Research Scientist, Nemotron Post-training

Join NVIDIA and help build the Nemotron models that will define the foundation of open-source generative AI.

You will work at the intersection of research and engineering to invent, implement, and scale the core post-training technologies behind our Nemotron models.

Responsibilities:

• Engage as core contributors to Nemotron models post-training, working at the intersection of synthetic data and algorithmic research for agentic RL, data and training infrastructure implementation, collaborating in vendor data acquisition and experimentation, and large-scale research & production model post-training
• Advance open-source foundation models by developing training data, benchmarks, LLMs, and software (including NeMo-RL, Nemo-Gym, and yet to be announced software)
• Solve large-scale, end-to-end foundation model post-training challenges, spanning the full model lifecycle from initial orchestration, data pre-processing, running of model training and tuning, to model deployment
• Publish and present results at academic and industry conferences

Requirements:

• Master's or PhD degree in computer science, machine learning, or other quantitative domains (or equivalent experience)
• 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

Benefits:

• Equity
• Benefits

You will be eligible for equity and benefits.