Head of AI Motion

VinMotion is a pioneering subsidiary of Vingroup, a trailblazer in Vietnam’s robotics revolution, forging a future where advanced technology seamlessly integrates with human progress. With a strong commitment to technological excellence and innovation, VinMotion is dedicated to advancing cutting-edge AI for humanoid robotics. Our mission extends beyond research and development—we strive to attract top global talent, foster AI applications in robotics, and elevate the reputation of VinMotion, Vingroup, and Vietnam as global technology leaders.

Job Overview

VinMotion is pioneering the next generation of AI-driven humanoid robotics, addressing global labor shortages and redefining automation. We are committed to advancing autonomous robotic motion with intelligent, adaptive, and real-time motion control systems that mimic human dexterity and agility.

VinMotion USA is seeking an innovative Head of AI Motion to lead the development of AI-driven motion planning, control, and reinforcement learning strategies for humanoid robots. This role requires expertise in Reinforcement Learning (RL), Whole-Body Control (WBC), Optimal Control, Imitation Learning, and AI-powered Motion Planning. You will play a key role in shaping the future of dynamic, real-time, and intelligent robotic movement.

Key Responsibilities

Strategic Leadership & Innovation

Define and implement the long-term AI Motion roadmap, ensuring alignment with VinMotion’s vision and product strategy.

Drive innovation in Whole-Body Motion Control, Reinforcement Learning (RL)-based Motion Planning, Imitation Learning, and Model-Based Control strategies.

Develop adaptive learning mechanisms to ensure robust and efficient motion control in real-world environments.

AI Research & Development

Develop and refine Reinforcement Learning (RL) and Imitation Learning models for skill acquisition, agility, and adaptive motion control.

Implement Whole-Body Control (WBC) and Model Predictive Control (MPC) strategies to ensure real-time adaptation, energy efficiency, and balance.

Optimize real-time motion planning, trajectory generation, and robot locomotion using Deep Reinforcement Learning (DRL) frameworks (e.g., PPO, SAC, DDPG).

Utilize Sim2Real techniques to bridge the gap between simulated training environments and real-world deployment.

Enhance collision avoidance, force control, and torque-based control mechanisms with AI-powered predictive modeling.

Optimize AI motion models for low-latency, real-time execution on edge computing devices.

Leadership & Team Development

Build and mentor a world-class team of AI engineers, robotics experts, and motion control specialists.

Foster a culture of rapid prototyping, AI-driven innovation, and continuous learning.

Ensure seamless collaboration across AI, control, hardware, and simulation teams to enable effective motion integration.

Identify and mitigate risks related to AI-based motion planning, real-world stability, and human-robot interaction safety.

Ensure compliance with US robotics safety standards and AI ethics best practices.

Develop fail-safe mechanisms for AI-driven motion execution in unpredictable environments.

Stakeholder Engagement & Business Impact

Act as the AI Motion ambassador, presenting cutting-edge research and motion strategies to executives, investors, and product teams.

Work closely with robotics hardware teams, UX designers, and AI software developers to bring real-time motion capabilities to market.

Represent VinMotion at leading AI & robotics conferences, research forums, and industry summits.

Qualifications & Experience

Education: Master’s or Ph.D. in AI, Robotics, Mechatronics, Computer Science, or a related field.

Experience:

10+ years in AI-driven robotics, reinforcement learning, or motion planning, with at least 5 years in a leadership role.

Proven expertise in real-world implementation of AI motion control for humanoid robots or autonomous systems.

Strong background in robot kinematics, sensor fusion, and human-like motion generation.

Technical Expertise:

Extensive experience in Reinforcement Learning (RL), Imitation Learning, and Model Predictive Control (MPC).

Deep knowledge of Whole-Body Control, trajectory optimization, and dynamic locomotion strategies.

Proficiency in Python, C++, TensorFlow, PyTorch, and real-time robotics frameworks (ROS, Mujoco, Gazebo, Isaac Gym, etc.).

Hands‑on experience with edge AI deployment for real-time motion execution.

Leadership & Business Acumen:

Ability to drive cross‑functional collaboration and AI innovation at an executive level.

Strong problem‑solving and technical decision‑making skills.

Excellent communication and stakeholder management capabilities.

Competitive compensation package with equity options.

Work on groundbreaking AI technology at the intersection of robotics, reinforcement learning, and human‑machine collaboration.

Flexible work arrangements, including hybrid and remote options.

Join us and shape the future of AI-powered human-robot communication!