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2 days ago
We are seeking a talented individual to develop and implement 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.
Key Responsibilities:- 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 (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.
- 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.
- Deep understanding of robotics control theory, kinematics, and sensor fusion.
- Demonstrated work with humanoid robots, quadrupeds, or robotic arms.
- Familiarity with NVIDIA Jetson 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.
- The chance to work on cutting-edge humanoid robotics with embodied AI.
- Access to advanced computing infrastructure.
- A multi-disciplinary team environment.
- Competitive remuneration and growth opportunities.
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