Advanced Humanoid Robotics Specialist

3 hours ago

Kannur, Kerala, India beBeeRobotics Full time ₹ 15,00,000 - ₹ 20,00,000
Physical AI Engineer

We are seeking a talented Physical AI Engineer to join our team at.

Job Description

Create cutting-edge AI-driven control and decision-making systems for humanoid robots and embodied agents. Integrate vision-language-action models, reinforcement learning, imitation learning, and real-time robotics systems to create robots capable of performing complex tasks in dynamic environments.

Main 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 optimize 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, optimize 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.
Key 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 optimization, 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).

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