Responsibilities
- Develop and lead the long term research and development strategy for humanoid robotics initiatives
- Manage and mentor multidisciplinary engineering teams across hardware, mechatronics, software, AI, and controls
- Lead the design and development of next generation robotic capabilities, including locomotion, manipulation, autonomy, and intelligent decision making
- Oversee the full robotics technology stack, from low level control systems and state estimation to planning, perception, and AI driven behaviors
- Foster collaboration across hardware, firmware, and software teams to ensure seamless product development
- Establish technical standards, system architecture guidelines, and engineering best practices
- Drive innovation, technical excellence, and successful delivery of advanced robotics solutions
Key Requirements
Education & Experience
- Master's degree or PhD in Computer Science, Robotics, Artificial Intelligence, or a related discipline
- Minimum 5 years of experience in robotics development, particularly in humanoid or legged robotic systems, including at least 2 years in a leadership capacity
- Demonstrated success managing and guiding cross functional engineering teams
- Strong background in software architecture, AI systems, and intelligent robotic applications
- Hands-on experience with advanced learning techniques such as Reinforcement Learning (RL), Imitation Learning, Vision Language Action (VLA) models, and Large Behavior Models
- Solid understanding of robotic control systems, real time computing environments, ROS/ROS2, or similar robotic frameworks
- Knowledge of model based control methods such as MPC, Optimal Control, or LQR is advantageous
- Comprehensive understanding of robotic systems, including actuators, sensors, embedded electronics, control, planning, AI, and data infrastructure
HOW TO APPLY: Please send your CV to the consultant in charge:
E-mail: giang.ngo@ev-search.com
All applications will be considered without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or any other non-merit factor.
