Senior Robotics DevTech Engineer

Overview

• We seek a Robotics DevTech Engineer to join our NVIDIA Omniverse team in China.
• This role serves as the local technical bridge linking the robotics community across China and the global NVIDIA platform team.
• Function as the primary contact for robotics partners in China, translating technical needs into actionable insights for engineering teams.
• Your mission: reduce technical friction, build team expertise in Isaac workflows, enable rapid partner iteration, and build the product roadmap with market intelligence from China.
• What You Will Be Doing: Local Ecosystem Triage & Support: 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.
• Robotics Workflow Mastery: 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.
• Link Between Partners & Engineering: 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.
• Regional Insight Generation: Identify emerging trends in China's robotics industry, preferred tech stacks, and localized challenges.
• Share market intelligence with NVIDIA leadership to inform product strategy.
• What We Need To See: 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 Core Technical Skills 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) AI & Control Fundamentals Reinforcement learning concepts and imitation learning Robot control, kinematics, dynamics, and trajectory optimization Synthetic data generation and domain randomization for sim-to-real transfer Ways To Stand Out from the Crowd: 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.