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 RoleWe're hiring a Staff/Senior Robotics Software Engineer - Simulation to join our Software team based in London.
What You'll DoSimulation 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.
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.
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.
