About the job
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.
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.
Qualifications
Minimum
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.
Preferred
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.