Senior Technical Program Manager - Robotics

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

NVIDIA is seeking a Senior Technical Program Manager to drive robotics initiatives, focusing on foundation models, simulation-to-real workflows, and edge deployment. The role involves owning program execution across research, engineering, and product teams to ship robotics solutions at scale, requiring hands-on robotics experience and strong TPM skills.

What you'd actually do

  1. Own end-to-end program execution for robotics software initiatives: requirements, schedules, risk mitigation, and releases.
  2. Coordinate cross-functional workstreams across product, simulation, model training, deployment, on-robot validation and more.
  3. Provide independent technical perspective — challenging assumptions, identifying architectural risks, and grounding decisions in sound engineering principles.
  4. Drive process improvements to the product lifecycle (PLC), lead release planning.
  5. Facilitate technical reviews, triage blockers, and communicate status to stakeholders and leadership.

Skills

Required

  • 8+ years in Technical Program Management delivering software products.
  • Hands-on robotics experience in one or more: robot learning, simulation-based development (synthetic data, domain randomization), model deployment to edge/robot platforms, robot evaluation/benchmarking, or sensor integration.
  • Strong grasp of foundational concepts in software development and Agile methodologies.
  • Proven success managing complex, multi-team programs with competing priorities.
  • Technical depth sufficient to evaluate engineering proposals, ask probing questions, and offer informed feedback—not just track schedules.
  • Ability to think long-term and build consensus to make programs successful.

Nice to have

  • Prior software development or robotics engineering role.
  • Direct experience with Isaac Sim, Isaac ROS, Omniverse, or equivalent simulation/SDK tools.
  • Familiarity with ML training pipelines, reinforcement learning, or imitation learning workflows.
  • Background in autonomous vehicles, manipulation, or mobile robotics platforms.
  • Experience navigating hardware/software co-development cycles.

What the JD emphasized

  • Hands-on robotics experience in one or more: robot learning, simulation-based development (synthetic data, domain randomization), model deployment to edge/robot platforms, robot evaluation/benchmarking, or sensor integration.
  • Technical depth sufficient to evaluate engineering proposals, ask probing questions, and offer informed feedback—not just track schedules.

Other signals

  • robotics initiatives
  • foundation models
  • simulation-to-real workflows
  • edge deployment pipelines
  • ship robotics solutions at scale