Senior Research Scientist, Post-Training LLM and DLM

NVIDIA • Santa Clara, CA

3d

About The Position

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.

Requirements

• 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 Haves

• 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.

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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees