AI Motion Engineer

VinMotion; Cypress (CA); Presencial; USD 120.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Performance-based bonuses

Cutting-edge robotics environment

Descripción de la vacante

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

You will collaborate with researchers and robotics experts to integrate cutting-edge AI algorithms into real-time motion systems, enabling intelligent, adaptive robots capable of human-like movements and responsive control.

Formación

• Bachelor’s or Master’s degree in AI, Robotics, Mechatronics, Computer Science, or a related field.

Responsabilidades

• Design and implement Reinforcement Learning (RL) and Imitation Learning models for real‑time motion adaptation.

Conocimientos

Python

C++

TensorFlow

PyTorch

Reinforcement Learning

Model Predictive Control

Whole-Body Control

Imitation Learning

ROS

Mujoco

Gazebo

Isaac Gym

Edge AI

Educación

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

Herramientas

ROS

Mujoco

Gazebo

Isaac Gym

Descripción del empleo

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!