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Full-Stack Solution Engineer - Sensorized Human

NVIDIA

China, Shanghai +1 more · On-site · relocationSalary not disclosedfull-timeNVIDIA Careers (offices abroad)

At NVIDIA, we are closing the "embodiment gap." We don’t just build robots; we build digital and physical nervous systems that allow humans to teach robots. You will lead the development of DexUMI (Dexterous Universal Manipulation Interface), a framework that leverages human-worn hardware and advanced computer vision to transfer complex skills from human hands to robotic actuators.

Responsibilities

  • Hardware-Software Co-Design
  • Maintain and iterate on the DexUMI wearable exoskeleton. You will bridge the kinematics gap between human hands and diverse robot end-effectors (e.g., XHand, Inspire Hand).
  • Sensor Fusion & Integration: Integrate high-fidelity tactile sensors and IMUs into wearable interfaces. Ensure low-latency data streaming.
  • Vision & Perception Pipelines
  • Implement and optimize the "software adaptation" layer—using tools to segment human operators out of training data and robot embodiments.
  • Data Engineering for AI
  • Build robust pipelines to collect, clean, and replay dexterous manipulation data for Imitation Learning and Diffusion Policies.
  • Optimization: Solve bi-level optimization problems to parameterize exoskeleton designs that maximize human wearability while preserving robot-equivalent fingertip workspaces.
  • What we need to see
  • A MS/PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience) with at least 1 years of research and engineering experience.

Languages

    Work format
    On-site
    Seniority
    Mid
    Posted
    2 Jun 2026
    Last verified
    In the last 5 days

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