# Senior Research Scientist, Nemotron Post-training

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Research-Scientist--Nemotron-Post-training_JR2018661?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ca068612-92d

## Description

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.

## Skills

### Required
- machine learning
- reinforcement learning
- agentic systems
- data curation
- model training
- inference environments
- deployment environments

### Nice to have
- industrial experience in reinforcement learning for leading foundation models
- optimizing model quality from real-world traffic feedback

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Research-Scientist--Nemotron-Post-training_JR2018661?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)