
AI-Powered Humanoid Robotics Specialist
2 days ago
We are seeking a skilled Physical AI Engineer to design, develop, and implement cutting-edge AI-driven control and decision-making systems for humanoid robots and embodied agents.
- Integrate advanced AI models with physical humanoid robots to create seamless interactions.
- Design efficient real-time control frameworks that enable smooth and safe motor actions.
- Develop pipelines to align simulation-to-reality (sim2real) 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.
- Implement safety protocols for autonomous decision-making in environments with humans.
Key Responsibilities:
- 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.
- Proficiency in Python and good knowledge of C++/ROS2 for robotics integration.
- Demonstrated work with humanoid robots, quadrupeds, or robotic arms.
Preferred Skills:
- Familiarity with NVIDIA Jetson, CUDA optimization, and real-time robotics inference.
- Experience with large foundation models adapted for robotics.
- Knowledge of safety-critical autonomous systems.
- Exposure to distributed training of large models on RTX/HPC clusters.
Benefits:
- Opportunity to work on cutting-edge humanoid robotics with embodied AI.
- Access to advanced computing infrastructure.
- Multi-disciplinary team environment spanning AI research and robotics engineering.
- Competitive remuneration and growth opportunities.
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