
Humanoid Robotics Engineer Design Specialist
3 days ago
Design and Implement
- Create AI-driven control systems for humanoid robots and embodied agents.
- Integrate vision-language-action models, reinforcement learning, imitation learning, and real-time robotics systems.
Key Responsibilities
- 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.
- Research and implement emerging paradigms in Physical AI, including embodied GPTs, action-conditioned transformers, and world-model-based learning.
Required 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.
Benefits
- The opportunity to work on cutting-edge humanoid robotics with embodied AI.
- Access to advanced computing infrastructure (NVIDIA RTX 6000 GPUs, Jetson Thor platforms).
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