Humanoid Robotics Engineer

2 days ago


Delhi, Delhi, India MethdAI - The AI Learning Platform Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Position Overview

We are seeking a skilled
Humanoid Robotics Engineer
to lead the training, development, and commercial deployment of advanced humanoid robots, including Unitree G1, H1, and similar platforms. This role focuses on advancing AI-driven learning capabilities, implementing reinforcement learning algorithms, and preparing humanoid systems for real-world commercial applications across manufacturing, logistics, healthcare, and service industries.

Key Responsibilities:

Robot Training & Development

  • Design and implement
    reinforcement learning (RL) control routines
    for humanoid robot locomotion, manipulation, and task execution.
  • Develop imitation learning algorithms
    to enable robots to learn complex behaviours through human demonstration.
  • Create and optimise sim-to-real transfer protocols
    using Isaac Gym, MuJoCo, and other simulation platforms.
  • Implement Vision-Language-Action (VLA) models
    for natural human-robot interaction and instruction-following capabilities.

Commercial Application Development

  • Deploy humanoid robots in
    manufacturing environments
    for assembly, quality control, and material handling tasks.
  • Configure robots for logistics and warehousing
     operations, including inventory management, order fulfilment, and last-mile delivery.
  • Adapt systems for retail and customer service
    applications with a focus on safety and user experience.
  • Develop hazardous environment applications
    for inspection, maintenance, and emergency response scenarios.

Technical Implementation

  • Program and calibrate
    DOF humanoid systems
    with advanced dexterous manipulation capabilities
  • Integrate 3D LiDAR, depth cameras, and tactile sensor arrays
    for enhanced environmental perception.
  • Implement whole-body control systems
    for balanced locomotion and coordinated upper/lower body movements.
  • Optimise battery management and power efficiency
    for extended operational periods (2-4+ hours)

AI & Machine Learning

  • Develop and tune
    deep reinforcement learning models
    using frameworks like PyTorch and TensorFlow.
  • Create behaviour trees and decision-making algorithms
    for autonomous task planning.
  • Implement SLAM (Simultaneous Localisation and Mapping)
    and navigation systems.
  • Design object recognition and manipulation strategies
    using computer vision and tactile feedback.

Required Qualifications:

Education & Experience

  • Bachelor's degree
    in Robotics Engineering, Mechatronics, Computer Science, Electrical/Mechanical Engineering, or related field.
  • 3+ years
    of hands-on experience with humanoid or bipedal robotics systems.
  • 2+ years
    of experience with reinforcement learning and machine learning applications in robotics.

Technical Skills

  • Expert proficiency
    in Python, C++, and ROS 2 for robotics development.
  • Advanced knowledge
    of reinforcement learning frameworks (Isaac Gym, OpenAI Gym, Stable Baselines).
  • Experience
    with simulation platforms: MuJoCo, Gazebo, NVIDIA Isaac, Unreal Engine.
  • Proficiency
    in machine learning libraries: PyTorch, TensorFlow, scikit-learn.
  • Strong background
    in control theory, kinematics, dynamics, and motion planning.
  • Hands-on experience
    with sensor integration (LiDAR, cameras, IMUs, tactile sensors).

Specialized Knowledge

  • Deep understanding
    of humanoid robot mechanics, joint control, and balance systems.
  • Experience
    with force-position hybrid control and impedance control for manipulation tasks.
  • Knowledge
    of commercial deployment challenges, including safety protocols and regulatory compliance
  • Familiarity
    with Unitree robotics platforms (G1, H1 series) and their development ecosystems

Preferred Qualifications

  • Master's degree
    in Robotics or related field with a thesis focus on humanoid systems.
  • Experience
    with NVIDIA GR00T platform and humanoid development workflows.
  • Previous commercial deployment
    experience in manufacturing, logistics, or service robotics.
  • Knowledge
    of industry standards and safety regulations for human-robot collaboration.
  • Publication record
    in robotics conferences or journals.

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