Senior Robotics Devtech Engineer

NVIDIA NVIDIA · Semiconductors · Shanghai, China +2

NVIDIA is seeking a Senior Robotics DevTech Engineer in China to act as a technical bridge between the robotics community and the global NVIDIA Omniverse platform team. The role involves supporting local robotics partners, building expertise in Isaac workflows, enabling partner iteration, and contributing to the product roadmap through market intelligence. Responsibilities include local ecosystem triage and support, developing expertise in robotics simulation tools, translating partner needs to engineering, and generating regional insights.

What you'd actually do

  1. First technical point of contact for Chinese robotics companies and research institutions. Conduct technical assessments, resolve integration and debugging issues locally in Mandarin, and build relationships with key partners.
  2. Develop deep expertise across Isaac Sim, Isaac Lab, SimReady, and emerging tools. Build internal playbooks for common use cases (humanoid sim-to-real, AMR navigation, manipulation with RL) that your team can reference.
  3. Distill partner requirements into clear technical briefs for global OV engineering teams. Track blockers across partners, raise critical issues and feature requests, and enable rapid feedback loops when new capabilities ship.
  4. Identify emerging trends in China's robotics industry, preferred tech stacks, and localized challenges. Share market intelligence with NVIDIA leadership to inform product strategy.

Skills

Required

  • MS or PhD in Computer Science, Robotics, Mechanical Engineering, or related field
  • Minimum 5 years in robotics engineering, simulation, or AI/ML development
  • Real Robot Experience: Proven hands-on work with robotic systems (manipulators, humanoids, drones)
  • Proficient Mandarin Chinese & Professional English
  • Deep hands-on experience with: IsaacSim/Lab or MuJoCo, or Gazebo
  • Proficiency in Python and C++ for robotics algorithms and performance optimization
  • ROS/ROS2 and deep learning frameworks (PyTorch)
  • Reinforcement learning concepts and imitation learning
  • Robot control, kinematics, dynamics, and trajectory optimization
  • Synthetic data generation and domain randomization for sim-to-real transfer

Nice to have

  • Multi-domain robotics experience across different robot morphologies and applications
  • Deep understanding of physics engine tradeoffs (PhysX vs MuJoCo), contact tuning, USD/Omniverse experience building digital twins for robotics simulation
  • Published research at top robotics conferences (ICRA, IROS, CoRL, ICLR)
  • Familiarity with the robotics sector in China
  • Active open-source contributions (ROS, Isaac Lab) with mentoring experience

What the JD emphasized

  • Minimum 5 years in robotics engineering, simulation, or AI/ML development
  • Proven hands-on work with robotic systems (manipulators, humanoids, drones)
  • Proficient Mandarin Chinese & Professional English
  • Deep hands-on experience with: IsaacSim/Lab or MuJoCo, or Gazebo
  • Proficiency in Python and C++ for robotics algorithms and performance optimization
  • ROS/ROS2 and deep learning frameworks (PyTorch)
  • Reinforcement learning concepts and imitation learning
  • Robot control, kinematics, dynamics, and trajectory optimization
  • Synthetic data generation and domain randomization for sim-to-real transfer

Other signals

  • Develop deep expertise across Isaac Sim, Isaac Lab, SimReady, and emerging tools
  • Build internal playbooks for common use cases (humanoid sim-to-real, AMR navigation, manipulation with RL)
  • Distill partner requirements into clear technical briefs for global OV engineering teams
  • Identify emerging trends in China's robotics industry
  • Reinforcement learning concepts and imitation learning
  • Synthetic data generation and domain randomization for sim-to-real transfer