Phyiscal AI Engineer

17 hours ago

Delhi, Delhi, India MethdAI - The AI Learning Platform Full time ₹ 4,00,000 - ₹ 8,00,000 per year

We are seeking a
Physical AI 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 (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 optimise 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, 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 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
    (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 optimisation, 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 chance 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, robotics engineering, and education technology
    .
  • Competitive remuneration and growth opportunities for leadership in
    next-gen Physical AI projects
    .
  • Would you like me to position this role more towards
    research (academic-style Physical AI exploration)
    or towards
    product/industry deployment (developing applied humanoid robots for education and enterprise use cases)
    ?

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