Humanoid Robotics Engineer

Position Overview

Humanoid Robotics Engineer

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

  23-43 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 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.

Work Environment

• Laboratory and workshop settings

  for development and testing.

• Manufacturing facilities

  for deployment and field testing.

• Collaborative environment

  working with mechanical, electrical, and software engineering teams.

• Travel is required

  for on-site deployments and customer support.