Humanoid AI Engineer

2 days ago


Tirupati, Andhra Pradesh, India beBeeArtificial Full time ₹ 1,80,00,000 - ₹ 2,00,00,000
Job Description

We are seeking an expert in Embodied Artificial Intelligence to design, develop, and implement AI-driven control systems for humanoid robots. This role involves integrating vision-language models, reinforcement learning, and real-time robotics systems to create robots capable of performing complex tasks in dynamic environments.

The ideal candidate will have a strong background in machine learning, particularly reinforcement learning, imitation learning, or embodied AI systems. Hands-on experience with robotics simulation environments such as Isaac Sim, MuJoCo, Unity, or Gazebo is also required. Proficiency in Python and knowledge of C++/ROS2 for robotics integration are necessary.

This position offers the opportunity to work on cutting-edge humanoid robotics with embodied AI. You will have access to advanced computing infrastructure and a multi-disciplinary team environment spanning AI research and robotics engineering.

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 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.
Requirements
  • 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 knowledge of C++/ROS2 for robotics integration.
  • Deep understanding of robotics control theory, kinematics, and sensor fusion.
Benefits
  • The chance to work on cutting-edge humanoid robotics with embodied AI.
  • Access to advanced computing infrastructure.
  • A multi-disciplinary team environment spanning AI research and robotics engineering.


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