# Full-Stack Solution Engineer - Sensorized Human

**Company**: NVIDIA
**Location**: Shanghai
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Full-Stack-Solution-Engineer---Sensorized-Human_JR2018291?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a4db71f4-eac

## Description

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.

This is a True Full-Stack role in Solutions Architecture Team: you will touch everything from the tactile sensor firmware on a wearable exoskeleton to the cloud-based data pipelines that train our diffusion policies.

### 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.

### Requirements

- A MS/PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience) with at least 1 year's research and engineering experience.

- Proficiency in C/C++ for embedded systems and ROS2, with hands-on experience in tactile sensing, force-feedback (haptics), and motor control.

- Experience with CAD (SolidWorks/Fusion360) and rapid prototyping, including 3D printing and PCB design.

- Expertise in Python and deep learning frameworks (PyTorch), with familiarity in computer vision (CV) models.

- Understanding of Imitation Learning or Reinforcement Learning (RL) is a strong plus.

- Experience with Record3D or iPhone-based spatial tracking, enabling integration between perception and physical systems.

- Experience working in Ubuntu/Linux environments with high-performance data serialization tools such as Protobuf and MQTT.

## Skills

### Required
- C/C++
- ROS2
- tactile sensing
- force-feedback
- motor control
- CAD
- SolidWorks
- Fusion360
- rapid prototyping
- 3D printing
- PCB design
- Python
- deep learning
- PyTorch
- computer vision
- Imitation Learning
- Reinforcement Learning
- Record3D
- iPhone-based spatial tracking
- Protobuf
- MQTT

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/Full-Stack-Solution-Engineer---Sensorized-Human_JR2018291?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)