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Senior Research Scientist, Nemotron Post-training

Role overview

Qualifications

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

Responsibilities

  • Engaged as core contributors to Nemotron models post-training
  • Advance open-source foundation models by developing training data, benchmarks, LLMs, and software
  • Solve large-scale, end-to-end foundation model post-training challenges
  • Publish and present results at academic and industry conferences

About the company

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NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Company details

Company typeXLarge
Company size10001

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Job description

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.

What you’ll be doing:

  • You will be engaged as core contributors to Nemotron models post-training, working at the intersection of the areas: 1) Synthetic data and algorithmic research for agentic RL 2) Data and training Infrastructure implementation 3) Collaborating in vendor data acquisition and experimentation 4) 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

What we need to see:

  • 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.

Ways to stand out from the crowd:

  • Industrial experience in reinforcement learning for leading foundation models.

  • Experience in optimizing model quality from real-world traffic feedbacks

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you’re passionate about leading breakthrough AI research and building exceptional teams that shape the future of computing, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 20, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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Marcus Rivera

Chief Revenue Officer

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