AI Motion Engineer

VinMotion

Cypress (CA)

On-site

USD 120,000 - 180,000

Full time

11 days ago
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Benefits offered by this job

Competitive compensation
Performance-based bonuses
Collaborative environment with top AI/
Global research partnerships

Job summary

VinMotion USA is seeking an AI Motion Engineer to develop AI-driven motion control systems for humanoid robots, focusing on RL, WBC, MPC, and motion planning to improve agility, balance, and dexterity.

As an AI Engineer, you will work closely with researchers and robotics experts to integrate cutting-edge AI algorithms into real-time robotic motion systems, delivering intelligent, adaptive robots for advanced applications.

Qualifications

  • Bachelor's or Master's degree in AI, Robotics, Mechatronics, Computer Science, or related field.
  • 2+ years of experience in AI development, robotics, or motion control.
  • Hands-on experience implementing AI-driven motion control for robotic systems.
  • Strong understanding of robot kinematics, sensor fusion, and human-like motion generation.

Responsibilities

  • Design and implement Reinforcement Learning (RL) and Imitation Learning models for real-time motion adaptation.
  • Develop and optimize Whole-Body Control (WBC), Model Predictive Control (MPC), and Motion Planning algorithms for dynamic locomotion.
  • Apply Deep Reinforcement Learning (PPO, SAC, DDPG) to robotic movement and trajectory optimization.
  • Utilize Sim2Real techniques to transfer AI models from simulation to real-world deployment.
  • Enhance collision avoidance, force control, and torque-based control using AI-powered predictive models.
  • Implement AI motion algorithms in real-time robotics systems.
  • Optimize AI models for low-latency execution on edge computing devices.
  • Collaborate with software, control, and hardware teams to ensure seamless AI integration.
  • Conduct simulations and real-world testing to refine AI-based motion control systems.

Skills

Python
C++
TensorFlow
PyTorch
Reinforcement Learning
Model Predictive Control
Whole-Body Control
Imitation Learning
Robot kinematics
Sensor fusion
ROS
MuJoCo
Gazebo
Isaac Gym
Edge AI optimization

Education

Bachelor's or Master's in AI/Robotics/Mechatronics/CS

Tools

ROS
MuJoCo
Gazebo
Isaac Gym

Job description

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 USA is seeking an AI Motion Engineer to develop AI-driven motion control systems for humanoid robots. This role focuses on designing and implementing Reinforcement Learning (RL), Whole-Body Control (WBC), Optimal Control, and AI-powered Motion Planning techniques to enhance robotic agility, balance, and dexterity.

As an AI Engineer, you will work closely with researchers and robotics experts to integrate cutting-edge AI algorithms into real-time robotic motion systems. Your contributions will help create intelligent, adaptive robots capable of performing complex human-like movements.

Key Responsibilities
AI Development & Motion Control
  • Design and implement Reinforcement Learning (RL) and Imitation Learning models for real-time motion adaptation.
  • Develop and optimize Whole-Body Control (WBC), Model Predictive Control (MPC), and Motion Planning algorithms for dynamic locomotion.
  • Apply Deep Reinforcement Learning (PPO, SAC, DDPG) to robotic movement and trajectory optimization.
  • Utilize Sim2Real techniques to improve AI model transferability from simulation to real-world deployment.
  • Enhance collision avoidance, force control, and torque-based control using AI-powered predictive models.
Software Development & System Integration
  • Implement AI motion algorithms in real-time robotics systems.
  • Optimize AI models for low-latency execution on edge computing devices.
  • Work with robotics frameworks such as ROS, Mujoco, Gazebo, and Isaac Gym to develop and test motion control strategies.
  • Collaborate with software, control, and hardware teams to ensure seamless AI integration into robotic platforms.
Testing & Performance Optimization
  • Conduct simulations and real-world testing to refine AI-based motion control systems.
  • Improve model accuracy, efficiency, and robustness through iterative development.
  • Analyze system performance and implement improvements for energy-efficient, real-time motion execution.
Qualifications & Experience
Education
  • Bachelor's or Master's degree in AI, Robotics, Mechatronics, Computer Science, or a related field.
Experience
  • 2+ years of experience in AI development, robotics, or motion control.
  • Hands-on experience implementing AI-driven motion control for robotic systems.
  • Strong understanding of robot kinematics, sensor fusion, and human-like motion generation.
Technical Skills
  • Proficiency in Python, C++, TensorFlow, PyTorch.
  • Experience with Reinforcement Learning (RL), Model Predictive Control (MPC), Whole-Body Control (WBC), and Imitation Learning.
  • Familiarity with robotics simulation frameworks such as ROS, Mujoco, Gazebo, Isaac Gym.
  • Knowledge of edge AI optimization for real-time applications is a plus.
Soft Skills
  • Strong problem-solving and analytical thinking abilities.
  • Passion for AI-driven robotics and autonomous systems.
  • Effective communication and collaboration skills in cross-functional teams.
  • Competitive compensation package with performance-based bonuses.
  • Work with top AI and robotics experts in a cutting-edge environment.
  • Access to top-tier AI talent, global research partnerships, and cutting-edge technology.
  • Work in a dynamic and innovation-driven environment with Vingroup's strong backing.

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

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