Humanoid Robotics Engineer

2 days ago

Vellore, Tamil Nadu, India beBeeRobotics Full time ₹ 1,20,00,000 - ₹ 2,00,00,000

We are seeking a Humanoid Robotics 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 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 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 Humanoid Robotics, including embodied GPTs and action-conditioned transformers.

Required Qualifications

  • Bachelor's or Master's degree in Robotics, Mechatronics, Computer Science, AI or a related field.
  • Strong background in machine learning, particularly reinforcement learning, imitation learning or embodied AI systems.
  • Hands-on experience with robotics simulation environments.
  • 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, preferably on vision-language-action models.

Benefits

  • The opportunity to work on cutting-edge humanoid robotics projects.
  • Access to advanced computing infrastructure.
  • A multi-disciplinary team environment spanning AI research and robotics engineering.
  • Competitive remuneration and growth opportunities.

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