Phyiscal AI Engineer

1 day ago


New Delhi, India MethdAI - The AI Learning Platform Full time

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 ResponsibilitiesIntegrate 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 QualificationsBachelor’s or Master’s degree in Robotics, Mechatronics, Computer Science, AI, or a related field (Ph.D. preferred for senior positions).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.Deep understanding of robotics control theory, kinematics, and sensor fusion .Demonstrated work with humanoid robots, quadrupeds, or robotic arms , preferably on vision-language-action models.Preferred SkillsFamiliarity with NVIDIA Jetson, CUDA optimisation, and real-time robotics inference .Experience with large foundation models adapted for robotics (OpenAI VLA, Google RT-2, Gr00T).Knowledge of safety-critical autonomous systems .Exposure to distributed training of large models on RTX/HPC clusters.Working knowledge of teleoperation frameworks (for collecting demonstration data).What We OfferThe chance to work on cutting-edge humanoid robotics with embodied AI .Access to advanced computing infrastructure ( NVIDIA RTX 6000 GPUs, Jetson Thor platforms, VR mocap systems, and Unitree robots ).A multi-disciplinary team environment spanning AI research and robotics engineering.Competitive remuneration and growth opportunities for leadership in next-gen Physical AI projects .



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