Senior Research Scientist, Post-Training LLM and DLM

NVIDIA•Santa Clara, CA

22h

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 and scaling 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.