Staff Technical Program Manager, Gemini Robotics, Deepmind

Google Google · Big Tech · Mountain View, CA +1

Technical Program Manager for Gemini Robotics at Google DeepMind, leading complex, multi-disciplinary programs that integrate large-scale AI models with physical robotics platforms. Responsibilities include planning and execution, translating strategy into roadmaps, managing risks, and overseeing data strategy for robotics, with a focus on latency, safety, and generalization.

What you'd actually do

  1. Lead the planning and execution of complex, multi-disciplinary technical programs for Gemini Robotics, from foundational research to real-world deployment.
  2. Partner closely with executive research and engineering leaders to translate high-level strategy into actionable program roadmaps, setting clear goals and objectives.
  3. Drive programs that integrate large-scale AI models (Gemini) with physical robotics platforms, addressing unique challenges in latency, safety, and real-world generalization.
  4. Oversee or contribute significantly to the data strategy for robotics, ensuring high-quality data collection, processing, and compliance to support model training.
  5. Identify and manage complex risks, dependencies, and changing circumstances in a fast-paced research environment.

Skills

Required

  • 8 years of experience in technical program management
  • Bachelor's degree or equivalent practical experience

Nice to have

  • 4 years of experience working in the field of robotics and computer vision
  • Excellent project manager and takes initiative, with the ability to work separately and on multiple initiatives at the same time.
  • Excellent problem-solving skills, strategic and investigative capabilities.

What the JD emphasized

  • Gemini Robotics
  • integrating large-scale AI models (Gemini) with physical robotics platforms
  • latency, safety, and real-world generalization
  • data strategy for robotics
  • high-quality data collection, processing, and compliance

Other signals

  • integrating large-scale AI models (Gemini) with physical robotics platforms
  • addressing unique challenges in latency, safety, and real-world generalization
  • data strategy for robotics, ensuring high-quality data collection, processing, and compliance to support model training