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2 days ago
We are seeking an expert in Embodied Artificial Intelligence to design, develop, and implement AI-driven control systems for humanoid robots. This role involves integrating vision-language models, reinforcement learning, and real-time robotics systems to create robots capable of performing complex tasks in dynamic environments.
The ideal candidate will have a strong background in machine learning, particularly reinforcement learning, imitation learning, or embodied AI systems. Hands-on experience with robotics simulation environments such as Isaac Sim, MuJoCo, Unity, or Gazebo is also required. Proficiency in Python and knowledge of C++/ROS2 for robotics integration are necessary.
This position offers the opportunity to work on cutting-edge humanoid robotics with embodied AI. You will have access to advanced computing infrastructure and a multi-disciplinary team environment spanning AI research and robotics engineering.
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 optimise 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, optimise energy efficiency, and ensure reliable AI control execution.
- Develop safety protocols for autonomous decision-making in environments with humans.
- 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 knowledge of C++/ROS2 for robotics integration.
- Deep understanding of robotics control theory, kinematics, and sensor fusion.
- The chance to work on cutting-edge humanoid robotics with embodied AI.
- Access to advanced computing infrastructure.
- A multi-disciplinary team environment spanning AI research and robotics engineering.
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