Senior Research Scientist, Post-Training LLM and DLM

NVIDIA

full-time

Posted on: 9/17/2025

Origin: • 🇺🇸 United States • California

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💰 $160,000 - $299,000 per year

Senior

Distributed SystemsPythonPyTorch

About the role

Designing and implementing post-training algorithms for 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
Working with researchers and engineers to build next-generation generative AI systems

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
(Nice to have) Expertise in post-training LLMs with novel algorithmic/data pipelines
(Nice to have) Experience developing and scaling large distributed systems for deep learning
(Nice to have) Contributions to open-source LLM systems or large-scale AI infrastructure