Senior Research Scientist, Nemotron Post-training

NVIDIA•Santa Clara, CA

5d•$192,000 - $356,500•Onsite

About The Position

Join NVIDIA and help build the Nemotron models that will define the foundation of open-source generative AI. We are looking for a research scientist / engineer who is passionate about open-source and excited to create our next-generation post-training pipelines. You will work at the intersection of research and engineering to invent, implement, and scale the core post-training technologies behind our Nemotron models.

Requirements

Master or PhD degrees in computer science, machine learning or other quantitative domains (or equivalent experience).
5+ year 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.

Nice To Haves

Industrial experience in reinforcement learning for leading foundation models.
Experience in optimizing model quality from real-world traffic feedbacks.

Responsibilities

Engaged 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 your results at academic and industry conferences.