
Lead Developer of Humanoid Robot Control Systems
2 days ago
We are seeking a skilled Physical AI Engineer to lead the design, development, and implementation of cutting-edge AI-driven control and decision-making systems for humanoid robots and embodied agents.
This role involves integrating vision-language-action models, reinforcement learning, imitation learning, and real-time robotics systems to create robots capable of performing complex tasks in dynamic environments.
- Integrate AI models with physical humanoid robots.
- Design real-time control frameworks that enable AI decision-making to translate into smooth, safe, and efficient motor actions.
- Develop pipelines to align simulation-to-reality and optimize robot learning for real-world deployment.
- Apply multi-modal AI learning to enhance robot perception and adaptability.
- Collaborate with hardware teams to calibrate robot sensors, optimize energy efficiency, and ensure reliable AI control execution.
- Develop safety protocols for autonomous decision-making in environments with humans.
- Conduct experiments in areas such as human-robot interaction, autonomous navigation, dexterous manipulation, and multi-agent collaboration.
To be successful in this role, you will need:
- A Bachelor's or Master's degree in Robotics, Mechatronics, Computer Science, AI, or a related field (Ph.D. preferred for senior positions).
- A strong background in machine learning, particularly reinforcement learning, imitation learning, or embodied AI systems.
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