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Senior Reliability Engineer (FTC)

Humanoid·London·On-site·Posted today

London, UK

Senior Reliability Engineer FTC

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.

Vision

In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization.

Solution

As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs.

About the Role

We are seeking a Senior Reliability Engineer to own and drive hardware reliability for our humanoid robotic systems. This role is central to ensuring our robots operate safely, consistently, and durably in real-world environments over their intended lifetimes.

You will lead reliability modeling and budgeting, drive system and component-level FMEAs, perform deep reliability analysis on critical electromechanical subsystems, and connect reliability requirements directly to construction (L2) requirements and validation/test plans. This is a hands-on role working closely with mechanical, electrical, controls, manufacturing, and test teams.

What You’ll Do

  • Review and refine reliability models and budgets (MTBF, duty cycle)
  • Generate and review reliability FMEA
  • Conduct key component reliability analysis (PCBAs, actuators, sensors, key structures)
  • Close the loop with L2 (construction) requirements and validation/test plans

We’re Looking For

  • Bachelor’s degree in Mechanical/Electrical/Aerospace/Industrial Engineering or similar (Master’s preferred).
  • 7+ years in reliability engineering.
  • Strong command of reliability tools and statistics.
  • Experience with failure analysis methods and reporting
  • Hands-on test and data skills: instrumentation, test design, data analysis (Python/MATLAB/R).
  • Familiarity with hardware reliability practices

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 Boston and Vancouver offices
  • Office perks: free lunches
  • 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.

How to Apply

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About Humanoid

Humanoid is a London-based robotics company creating commercially scalable humanoid robots for industrial automation. Founded by serial entrepreneur Artem Sokolov, the company has built the HMND 01 platform featuring 29 active degrees of freedom and AI-driven end-to-end reasoning. Its robots target warehouses, logistics hubs, and retail facilities through a robotics-as-a-service (RaaS) model. The company conducted a landmark trial at the Siemens Electronics Factory in Erlangen achieving 60 tote moves per hour with over 90% autonomous success rate. The team of 200+ includes alumni from Apple, Tesla, and Boston Dynamics. Preparing for a Series A round.

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