
Humanoid Robotics Developer
5 days ago
We are seeking a skilled Physical AI Engineer to develop and implement cutting-edge AI-driven control and decision-making systems for humanoid robots and embodied agents.
Key Responsibilities
- Integrate AI models with physical humanoid robots, including vision-language-action models, reinforcement learning, imitation learning, and real-time robotics systems.
- Design high-performance 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 (sim2real) and optimize robot learning for real-world deployment.
- Apply multi-modal AI learning (vision, audio, haptics, proprioception) 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.
- Research and implement emerging paradigms in Physical AI, including embodied GPTs, action-conditioned transformers, and world-model-based learning.
Required Skills and Qualifications
- Bachelor's or Master's degree in Robotics, Mechatronics, Computer Science, AI, or a related field.
- Strong background in machine learning, particularly reinforcement learning, imitation learning, or embodied AI systems.
- Hands-on experience with robotics simulation environments (Isaac Sim, MuJoCo, Unity, Gazebo).
- Proficiency in Python and good knowledge of C++/ROS2 for robotics integration.
- Deep understanding of robotics control theory, kinematics, and sensor fusion.
- Demonstrated work with humanoid robots, quadrupeds, or robotic arms, preferably on vision-language-action models.
Preferred Benefits
- The chance to work on cutting-edge humanoid robotics with embodied AI.
- Access to advanced computing infrastructure (NVIDIA RTX 6000 GPUs, Jetson Thor platforms, VR mocap systems, and Unitree robots).
- A multi-disciplinary team environment spanning AI research and robotics engineering.
- Competitive remuneration and growth opportunities for leadership in next-gen Physical AI projects.
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