Physical Humanoid AI Engineer

18 hours ago

Solapur, Maharashtra, India beBeeHumanoidAI Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

We are seeking a top AI talent to lead the design and development of cutting-edge humanoid robots equipped with advanced AI systems.

Key Responsibilities:

  • Develop and integrate AI models (transformers, diffusion policy networks, LLMs, vision-language models) with physical humanoid robots to enable seamless human-robot interaction.
  • Design real-time control frameworks that empower AI decision-making to drive smooth, safe, and efficient motor actions in dynamic environments.
  • Create pipelines to bridge simulation-to-reality (sim2real) and optimize robot learning for real-world deployment, ensuring rapid progress towards robot autonomy.
  • Apply multi-modal AI learning (vision, audio, haptics, proprioception) to enhance robot perception and adaptability, enabling robots to effectively interact with humans and their environment.
  • Collaborate with hardware teams to calibrate robot sensors, optimize energy efficiency, and guarantee reliable AI control execution, paving the way for widespread adoption of humanoid robots.
  • Develop safety protocols for autonomous decision-making in environments with humans, prioritizing both human safety and the overall well-being of all individuals involved.
  • Conduct experiments in areas such as human-robot interaction, autonomous navigation, dexterous manipulation, and multi-agent collaboration, driving innovation and breakthroughs in the field of Physical AI.
  • Research and implement emerging paradigms in Physical AI, including embodied GPTs, action-conditioned transformers, and world-model-based learning, to stay ahead of the curve and push the boundaries of what is possible.

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, with a deep understanding of robotics control theory, kinematics, and sensor fusion.
  • Hands-on experience with robotics simulation environments (Isaac Sim, MuJoCo, Unity, Gazebo), proficiency in Python, and good knowledge of C++/ROS2 for robotics integration.

Benefits:

  • The opportunity to work on cutting-edge humanoid robotics with embodied AI, leveraging state-of-the-art technology to drive innovation and advancement in the field.
  • Access to advanced computing infrastructure (NVIDIA RTX 6000 GPUs, Jetson Thor platforms, VR mocap systems, and Unitree robots), facilitating fast-paced development and experimentation.
  • A multi-disciplinary team environment spanning AI research and robotics engineering, fostering collaboration and knowledge-sharing among experts from diverse backgrounds.
  • Growth opportunities for leadership in next-gen Physical AI projects, allowing talented individuals to take on new challenges and shape the future of robotics and AI.

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