Apply in 3 Minutes Phyiscal Ai Engineer

3 weeks ago

Meerut, 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 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 - Bachelor’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 Skills - Familiarity 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 Offer - Salary Range: ₹15-20 LPA (Lakhs per annum) - The 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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