Phyiscal AI Engineer

We are seeking a Physical AI Engineer to design, 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 (transformers, diffusion policy networks, LLMs, vision-language 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 (sim2real) and optimise 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, optimise 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 .
• Research and implement emerging paradigms in Physical AI , including embodied GPTs, action-conditioned transformers, and world-model-based learning.

Required Qualifications

Preferred Skills

What We Offer