[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All NVIDIA jobs](https://jobs.opennash.com/companies/nvidia/) · [Search jobs](/search/) NVIDIA · Multiple locations # Full-Stack Solution Engineer - Sensorized Human Multiple locations Software Engineering Listed on NVIDIA’s official careers site. Listed as of October 20, 2026. Check that it is still open and apply there. [Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/China-Shanghai/Full-Stack-Solution-Engineer---Sensorized-Human_JR2018291) [OpenNash Jobs](https://jobs.opennash.com/) / [NVIDIA](https://jobs.opennash.com/companies/nvidia/) / Full-Stack Solution Engineer - Sensorized Human ## Job 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. ### What you'll be doing 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. ### The "Body" (Hardware/Embedded) Proficiency in C/C++ for embedded systems and ROS2, with hands-on experience in tactile sensing, force-feedback (haptics), and motor control. ### Mechatronics & Prototyping Experience with CAD (SolidWorks/Fusion360) and rapid prototyping, including 3D printing and PCB design. ### The "Brain" (Software/AI) Expertise in Python and deep learning frameworks (PyTorch), with familiarity in computer vision (CV) models. ### Advanced AI Techniques (Plus) Understanding of Imitation Learning or Reinforcement Learning (RL) is a strong plus. ### The "Bridge" (Integration) Experience with Record3D or iPhone-based spatial tracking, enabling integration between perception and physical systems. ### Systems & Infrastructure Experience working in Ubuntu/Linux environments with high-performance data serialization tools such as Protobuf and MQTT. ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Jul 10, 2026 - Last checked: Oct 20, 2026 - Listed for: 102 days - Location: Multiple locations[Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/China-Shanghai/Full-Stack-Solution-Engineer---Sensorized-Human_JR2018291) ## More jobs at NVIDIA ### [AI Computing Software Development Engineer, TensorRT-LLM](https://jobs.opennash.com/companies/nvidia/jobs/77afa0609aa79b42b8bf/) ### [AI Computing Software Development Intern - 2027](https://jobs.opennash.com/companies/nvidia/jobs/2604940341bdd205a387/) ### [AI Computing Software Development Intern, LLM Inference - 2027](https://jobs.opennash.com/companies/nvidia/jobs/5c2898ad9721f640226a/) ### [AI Computing Software Intern, GPU Kernel Libraries - 2027](https://jobs.opennash.com/companies/nvidia/jobs/e5e58114cef438d1674b/) ### [AI Developer Technology Engineer](https://jobs.opennash.com/companies/nvidia/jobs/452fe02898b03b83dd5e/) ## Similar jobs at other companies ### [Senior Full Stack.NET Software Engineer](https://jobs.opennash.com/companies/citigroup/jobs/2e6522de3ea7c02e1615/) Citigroup ### [Software Engineer - Full Stack and Back End](https://jobs.opennash.com/companies/citigroup/jobs/bdb712e6ea5642f22f6c/) Citigroup ### [Senior Full Stack AI Engineer, E2E AI solution](https://jobs.opennash.com/companies/micron-technology/jobs/13e38204cc4f3ccab797/) Micron Technology ### [Solution Architect / Full Stack DevOps Engineer (m/w/d)](https://jobs.opennash.com/companies/deutsche-post/jobs/27cbcb378d19f66d6421/) Deutsche Post · Bonn, Nordrhein-Westfalen, Germany ### [Senior Full Stack Engineer](https://jobs.opennash.com/companies/hitachi/jobs/c5e6ccad431d3bc81252/) Hitachi · Mexico OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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