Humanoid Robotics Systems Developer

3 days ago

Delhi, Delhi, India beBeeRobotics Full time US$ 1,20,000 - US$ 1,40,000
Job Description:

We are seeking a skilled developer to lead the creation, training and deployment of advanced humanoid robotics systems. 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:
  • Design and implement reinforcement learning 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 simulation platforms.
  • Implement Vision-Language-Action models for natural human-robot interaction and instruction-following capabilities.
Required Skills and Qualifications:

To be successful in this role, you will require a strong background in robotics development, with expertise in Python, C++ and ROS 2. Additionally, you should have experience with simulation platforms such as MuJoCo, Gazebo and Unreal Engine, as well as proficiency in machine learning libraries like PyTorch, TensorFlow and scikit-learn.

A Bachelor's degree in Robotics Engineering, Mechatronics, Computer Science, Electrical/Mechanical Engineering or related field is required, along with 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 is also highly desirable.

Benefits:

This role offers a collaborative environment working with mechanical, electrical and software engineering teams, with opportunities for travel and on-site deployments. You will have the chance to work on cutting-edge projects, developing innovative solutions for real-world problems.

Technical Skills:
  • Expert proficiency in Python, C++ and ROS 2 for robotics development.
  • Advanced knowledge of reinforcement learning frameworks.
  • 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 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.

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