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Head of Humanoid Mobility & Controls — R&D Leader
Job in
Reno, Washoe County, Nevada, 89550, USA
Listed on 2026-05-27
Listing for:
VinDynamics
Full Time
position Listed on 2026-05-27
Job specializations:
-
Engineering
Robotics, Software Engineer
Job Description & How to Apply Below
About Vin Dynamics
At Vin Dynamics, we design safe, affordable, and intelligent humanoid robots to assist in everyday life — robots for everyone. Backed by Vin Group, Vietnam’s leading technology conglomerate, we are on a mission to make advanced robotics accessible, reliable, and beneficial for billions of people worldwide. By combining cutting-edge AI, world-class engineering, and human-centered design, we aim to seamlessly integrate robots into daily life — enhancing safety, productivity, and happiness at home and beyond.
Overview- Position:
Head of Locomotion & Controls (Humanoid Robot) - Company:
Vin Dynamics - Division - Department:
Research and Development - Report to:
Director of Research and Development - Location:
Reno, Nevada, USA
- Define the vision and roadmap for the Mobility Robotics stack, covering locomotion, navigation, motion planning, control, and the full mobility intelligence layer of the robot
- Build and lead a high-performing Mobility Robotics team, combining robotics software engineers, control engineers, and reinforcement learning engineers
- Collaborate closely with Mechanical, Electronics/Firmware, SLAM and Navigation, and Systems Engineering teams to ensure seamless end-to-end integration between mobility software and the full robot system
- Stay ahead of industry and academic advances in locomotion, dynamic control, navigation, and autonomous mobility to shape R&D priorities and long-term technology strategy
- Ensure real-time, safe, and robust mobility performance in complex, unstructured, and continuously changing environments
Education and Experience
- Master’s or PhD in Computer Science, Robotics, or related fields
- Minimum 5 years working in robotics software
- Strong background in robot dynamics, kinematics, and control theory, including optimal control and nonlinear systems
- Advanced experience with reinforcement learning and imitation learning for mobility and locomotion
- Hands‑on experience with model‑based controllers such as MPC, WBC, or impedance control
- Experience with physics‑based simulation such as Bullet Sim, Mujoco, Isaac Lab
- Experience integrating perception such as vision and depth into locomotion
- Strong interpersonal, organizational, and leadership skills
- Proactive, dedicated, business‑oriented, responsible, and willing to learn
- Good communication skills, creative problem‑solving skills, and attention to detail
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