Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we’re growing the team to take it even further.

About the Role

We're hiring a Staff/Senior Robotics Software Engineer - Simulation to join our Software team based in London.

What You'll Do

• 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.

What We're Looking For

• 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

• Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays.

• Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support.

• Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings.

• Free daily breakfast, catered lunch, and snacks in‑office.

• Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.

• Freedom to influence the product and own key initiatives.