Principal Robotics AI Specialist

2 weeks ago

Morādābād, Uttar Pradesh, India beBeePhysicalAiEngineer Full time ₹ 1,75,00,000 - ₹ 2,25,00,000
Design and Develop Advanced AI-Driven Robotics Systems

We are seeking a highly skilled Physical AI Engineer to design, develop, and implement cutting-edge 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 to achieve seamless interaction and optimal performance.
  • Develop real-time control frameworks that enable AI decision-making to translate into smooth, safe, and efficient motor actions, ensuring reliable robot operation.
  • Pipeline development to align simulation-to-reality (sim2real) and optimize robot learning for real-world deployment, reducing the gap between theoretical models and practical implementation.
  • Apply multi-modal AI learning (vision, audio, haptics, proprioception) to enhance robot perception and adaptability, enabling robots to navigate and interact with their environment effectively.
  • Collaborate with hardware teams to calibrate robot sensors, optimize energy efficiency, and ensure reliable AI control execution, guaranteeing the highest level of system performance.
  • Develop safety protocols for autonomous decision-making in environments with humans, prioritizing human safety and well-being.
  • Conduct experiments in areas such as human-robot interaction, autonomous navigation, dexterous manipulation, and multi-agent collaboration to advance the field of Physical AI.
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 hands-on experience in developing and deploying AI models.
  • Proficiency in Python and good knowledge of C++/ROS2 for robotics integration, with experience in working with robotics simulation environments (Isaac Sim, MuJoCo, Unity, Gazebo).
  • Deep understanding of robotics control theory, kinematics, and sensor fusion, with demonstrated work with humanoid robots, quadrupeds, or robotic arms.
Benefits:
  • The opportunity to work on cutting-edge humanoid robotics with embodied AI, pushing the boundaries of what is possible in the field.
  • Access to advanced computing infrastructure (NVIDIA RTX 6000 GPUs, Jetson Thor platforms, VR mocap systems, and Unitree robots), enabling the development of innovative AI-driven robotics systems.
  • A multi-disciplinary team environment spanning AI research and robotics engineering, fostering collaboration and knowledge sharing among experts from various fields.
Other Opportunities:
  • Growth opportunities for leadership in next-gen Physical AI projects, empowering candidates to take on new challenges and responsibilities.

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