Nvidia Senior Research Scientist Post-Training LLM DLM 

United States, Texas 

653607532

What you will be doing:

• 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.