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Research Scientist, Physical AI - Foundation Models - PhD New College Grad 2026

NVIDIA

US, CA, Santa Clara · On-site · relocation$14,000–22,042 gross/mofull-timeAI model trainingNVIDIA Careers (offices abroad)

Are you passionate about pushing the boundaries of AI at the intersection of the digital and physical worlds? Join our groundbreaking research team as we revolutionize the future of physical AI through groundbreaking generative models.

Responsibilities

  • Pioneer revolutionary generative AI algorithms for physical AI applications, with a focus on advanced video generative models and video-language models
  • Architect and implement sophisticated data processing pipelines that produce premium-quality training data for Generative AI and Physical AI systems
  • Design and develop cutting-edge physics simulation algorithms that enhance Physical AI training
  • Scale and optimize large-scale training systems to efficiently harness the power of 20,000+ GPUs for training foundation models
  • Author influential research papers to share your groundbreaking discoveries with the global AI community
  • Drive innovation through close collaboration with research teams, diverse internal product groups, and external researchers
  • Build lasting impact by facilitating technology transfer and contributing to open-source initiatives
  • What we need to see
  • PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
  • Deep expertise in PyTorch and related libraries for Generative AI and Physical AI development

Languages

    Work format
    On-site
    Seniority
    Junior
    Posted
    23 Sept 2026
    Last verified
    In the last 5 days

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