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.
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.Skills Required
- Master or PhD in computer science, machine learning, or a quantitative field (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 using or developing inference and deployment environments such as vLLM, SGLang, or TRT-LLM
- Experience publishing or presenting research at academic or industry conferences
- Industrial experience in reinforcement learning for foundation models
- Experience optimizing model quality from real-world traffic feedback
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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