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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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