Senior Research Scientist, Post-Training LLM and DLM

Responsibilities

• Designing and implementing post-training algorithms LLMs and DLMs.
• Driving efficiency and scalability improvements across training pipelines and serving systems
• Collaborating with researchers to translate cutting-edge ideas into production-ready implementations.
• Exploring new paradigms for evaluation.
• Demonstrating strong engineering practices, and contributing to open-source communities.
• What we need to see:
• PhD in Computer Science, Electrical Engineering, or related field, or equivalent research experience in LLMs, systems, or related areas.
• 2+ years of experiences in machine learning, systems, distributed computing, or large-scale model training.
• Proficiency in Python with hands-on experience in frameworks such as PyTorch.
• Solid background in computer science fundamentals: algorithms, data structures, parallel/distributed computing, and systems programming.
• Proven ability to collaborate across research and engineering teams in multifaceted environments.
• Ways to stand out from the crowd:
• Expertise in post-training LLMs with novel algorithmic/data pipelines
• Experience developing andscaling large distributed systems for deep learning.
• Contributions to open-source LLM systems or large-scale AI infrastructure.
• NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most experienced and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, 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 168,000 USD - 264,500 USD for Level 3, and 192,000 USD - 304,750 USD for Level 4. You will also be eligible for equity and benefits .
• Applications for this job will be accepted at least until May 16, 2026. This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.

Additional Information

We are now looking for a Senior Research Scientist passionate about Large Language Model (LLM) and Diffusion Language Model (DLM) post-training and system optimization. Are you excited to shape the future of large-scale generative AI? NVIDIA is at the forefront of foundation models and generative AI systems, enabling cutting-edge research and real-world deployment at unprecedented scale. Our team is dedicated to advancing post-training algorithms, building efficient large-scale systems, and developing evaluation frameworks to ensure reliability and scalability. Join us to work with world-class researchers and engineers on building the next generation of AI.

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