Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications.

Our Mission

At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.

Responsibilities

• Simulation Development: Design and implement high-fidelity simulation environments for robotic systems, incorporating realistic physics, sensor models, and environmental interactions.
• Software Engineering: Write clean, maintainable, and scalable code, utilizing modern software engineering practices and tools.
• Digital Twin Integration: Develop and maintain interfaces to facilitate the creation of a digital twin for seamless transfer of insights and control strategies between simulation and real robots.
• Algorithm Testing and Data Analysis: Design and execute simulation-based tests to evaluate robotic algorithms and control systems, and analyze simulation data to gain insights and identify areas for improvement.
• Cross-Team Collaboration: Work closely with other engineers and researchers, especially across multiple teams such as manipulation, locomotion, VLA, Reasoning Design & Hardware, and Control & Integration, to ensure seamless integration of simulation tools into the overall robotic development workflow.
• Trend Awareness: Stay informed on current trends in the simulation field and proactively explore their implementation within the company.

• Expertise

  • 5+ years of experience in robotics simulation and software development, with a proven track record working on mid/large-scale software projects.
  • Strong programming skills in C++, Python and ROS / ROS Control.
  • Experience with robotic simulation frameworks, such as MuJoCo and Isaac Sim.
  • Knowledge of robotic kinematics, dynamics, and control.
  • Experience with containerization technologies, such as Docker.
  • Familiarity with imitation learning, VLA models & Computer Vision techniques.
  • A proactive, can-do attitude and a collaborative spirit.
  • Education: B. Sc., Master’s or Ph.D. in Robotics, Computer Science, or a related field.
  • Experience with cloud-based simulation and distributed computing.

  
  

  What We Offer:

  
  

  • Competitive salary plus participation in our Stock Option Plan
  • Paid vacation with adjustments based on your location to comply with local labor laws
  • Travel opportunities to our Vancouver and Boston offices
  • Office perks: free breakfasts, lunches, snacks, and regular team events
  • Freedom to influence the product and own key initiatives
  • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics
  • Startup culture prioritising speed, transparency, and minimal bureaucracy

  .