
AI Systems Engineer for Humanoid Robots
2 weeks ago
This is a challenging role involving the design, development and implementation of AI-driven control and decision-making systems for humanoid robots and embodied agents. The engineer will integrate vision-language-action models with real-time robotics systems to enable complex tasks in dynamic environments.
Key Responsibilities:- Integrate AI models (transformers, diffusion policy networks, LLMs) 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 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 and multi-agent collaboration.
- Bachelor's or Master's degree in Robotics, Mechatronics, Computer Science or AI.
- Strong background in machine learning, particularly reinforcement learning or imitation learning.
- 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 and sensor fusion.
- Demonstrated work with humanoid robots or robotic arms.
- Familiarity with NVIDIA Jetson and CUDA optimisation.
- Experience with large foundation models adapted for robotics.
- Knowledge of safety-critical autonomous systems.
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