AI Driven Robotics Engineer

1 day ago

Belgaum, Karnataka, India beBeeRobotics Full time ₹ 25,00,000 - ₹ 35,00,000
Job Opportunity

We are seeking a highly skilled Physical AI Engineer to design, develop, and implement cutting-edge AI-driven control 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 to enable seamless interaction between artificial intelligence and mechanical systems.
  • Design and develop real-time control frameworks that translate AI decision-making into smooth, safe, and efficient motor actions.
  • Develop data pipelines to align simulation-to-reality and optimize robot learning for real-world deployment.
  • Apply multi-modal AI learning to enhance robot perception and adaptability in dynamic environments.
  • 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 to prevent potential risks.
  • Conduct experiments in areas such as human-robot interaction, autonomous navigation, dexterous manipulation, and multi-agent collaboration.
  • Research and implement emerging paradigms in Physical AI, including embodied GPTs, action-conditioned transformers, and world-model-based learning.
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, such as Gazebo or V-REP.
  • 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.
Preferred Skills:
  • Familiarity with NVIDIA Jetson, CUDA optimization, and real-time robotics inference.
  • Experience with large foundation models adapted for robotics, such as Transformers or BERT.
  • Knowledge of safety-critical autonomous systems and risk mitigation strategies.
  • Exposure to distributed training of large models on RTX/HPC clusters.
  • Working knowledge of teleoperation frameworks and human-machine interfaces.

What We Offer

  • The opportunity to work on cutting-edge humanoid robotics with embodied AI, pushing the boundaries of innovation and discovery.
  • Access to advanced computing infrastructure and state-of-the-art research tools.
  • A multi-disciplinary team environment spanning AI research and robotics engineering, fostering collaboration and knowledge sharing.
  • Competitive remuneration and growth opportunities for talented individuals who excel in their roles.

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