AI Control Systems Engineer

2 days ago

Nashik, Maharashtra, India beBeePhysical Full time US$ 1,00,000 - US$ 1,75,000

We are seeking a 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 individual will be responsible for integrating advanced AI models with physical humanoid robots, utilizing transformers, diffusion policy networks, LLMs, and vision-language models.

Responsibilities:

  • Develop real-time control frameworks that enable seamless AI decision-making, translating into smooth, safe, and efficient motor actions.
  • Pipeline development to align simulation-to-reality and optimize robot learning for real-world deployment, ensuring high precision and adaptability.
  • Apply multi-modal AI learning (vision, audio, haptics, proprioception) 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.
  • Implement 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.
  • Research and implement emerging paradigms in Physical AI, including embodied GPTs, action-conditioned transformers, and world-model-based learning.

Requirements:

  • 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).

What We Offer:

  • The opportunity to work on cutting-edge humanoid robotics with embodied AI.
  • Access to advanced computing infrastructure (NVIDIA RTX 6000 GPUs, Jetson Thor platforms, VR mocap systems, and Unitree robots).
  • A multi-disciplinary team environment spanning AI research and robotics engineering.

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