Senior Technical Program Manager, Generative AI

Nvidia-posted 3 months ago
$192,000 - $368,000/Yr
Full-time • Senior
Santa Clara, CA
Computer and Electronic Product Manufacturing
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At NVIDIA, we're not just advancing AI, we're orchestrating its evolution. Our Cosmos generative AI team works at the forefront of foundation model building, powering breakthroughs in video generation, intelligent agents, simulation, and synthetic data. We are hiring an experienced program manager who has hands-on experience in using these models to drive high-impact execution. If you thrive in very fast-paced environments, speak the language of generative AI, and can bring order to the frontier, we want to work with you.

  • Drive multi-functional execution across Research Scientists, Research Engineers, Product, Marketing and Legal, acting as the glue to ensure alignment and high velocity.
  • Lead generative-AI model building, including model training, post-training, optimization, and release to internal and external users.
  • Coordinate and drive open source releases on platforms like GitHub and Hugging Face, ensuring quality, traceability, and findability.
  • Collaborate with Legal to ensure all datasets, code, and models are licensed for commercial use and open source distribution.
  • Supervise the model lifecycle and its dependencies (e.g., datasets, checkpoints, licenses) and maintain compliance documentation.
  • Enable internal NVIDIA teams and early adopters with early access to models and tools; bring together and synthesize feedback to advise roadmap and product iteration.
  • Outstanding technical program manager with a consistent record driving sophisticated, cross-functional AI initiatives across research, engineering, and product teams.
  • Hands-on experience running generative AI models —whether LLMs, diffusion models, or VLMs/VLAs—along with a working understanding of their inputs, outputs, failure modes, and performance bottlenecks.
  • Comfortable working in Python, using tools like Hugging Face, PyTorch, Docker, or similar frameworks to evaluate models, run inference, and understand code-level artifacts (e.g., config files, training checkpoints).
  • Familiarity with the full lifecycle of foundation model development: data curation, training, post-training (e.g., distillation, quantization), evaluation, and deployment.
  • Experience leading open-source or externally-released model artifacts (e.g., GitHub, Hugging Face, licensing, model cards, compliance metadata) is highly valued.
  • Strong understanding of AI licensing, model/data provenance, and traceability systems is a major plus.
  • Excellent communication and leadership skills are essential—you should be able to influence at all levels, from individual contributors to VPs.
  • BS or MS in Computer Science, Engineering, Applied Math, or a related technical field or equivalent experience in an engineering or research role.
  • 12+ years of relevant experience, including at least 5 years leading technical programs in ML, AI, or applied research domains.
  • Equity and benefits
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