Nvidia-posted 3 months ago
$160,000 - $299,000/Yr
Full-time • Senior
Santa Clara, CA
Computer and Electronic Product Manufacturing

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.

  • 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.
  • 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.
  • 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.
  • Equity and benefits.
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