Robotics Engineer (Night Shift)

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

• our rapidly developed humanoid platform being deployed in real industrial environments
• and we’re growing the team to take it even further.

The Robotics Engineer will be responsible for the operation, maintenance, and optimisation of the robotics fleet and AI Data Collection System. The role focuses on ensuring that data-collection pipelines, hardware setups, and system configurations support reliable experimentation and high-quality dataset generation for robotics research and development. A key aspect of this role is ensuring maximum system uptime and rapid response to issues that may impact data-collection Continuity.

Role Purpose To ensure continuous, reliable operation of the robotics fleet and AI Data Collection System, enabling high-quality data generation and uninterrupted experimentation for robotics research. This position is a permanent night shift, with working hours of 10:30 pm - 7:00 am, and may require occasional travel in line with business needs.

• Ensure continuous uptime of the robotics fleet and AI Data Collection System through proactive monitoring, rapid issue response, and preventive maintenance.
• Oversee daily system operation, ensuring all robots, sensors, and data pipelines are functioning correctly.
• Configure and prepare robotic systems for data-collection runs, including calibration, software setup, and environment readiness.
• Execute and support data-collection experiments in collaboration with engineers and researchers, ensuring reliability and repeatability.
• Manage the collection, verification, labelling, and organised storage of datasets used for imitation learning and related ML workflows.
• Troubleshoot hardware, software, and system issues to minimise downtime and maintain workflow continuity.
• Maintain accurate records of equipment status, system utilisation, and performance, and coordinate procurement of required components and replacements.
• Develop and follow operational best practices to ensure safety, efficiency, and standardisation across data-collection activities.
• Schedule and prioritise robotics and data-collection resources to optimise experiment throughput and system availability.
• Support improvements to data-collection processes, system stability, documentation, and operational procedures.

Bachelor’s or Master’s degree in Robotics, Engineering, Computer Science, or a related technical field.

• Practical experience operating robotic systems or automated hardware setups.
• Strong organisational, time-management, and communication skills.
• Experience with data collection, dataset organisation, and data-management workflows for machine learning or robotics.
• Hands-on experience with ROS (Robot Operating System).
• Proficiency with Linux-based development and runtime environments.
• Basic proficiency in Python or C++ (preferred but not required).
• Preferred

• Experience with inventory tracking, procurement, and supplier coordination.
• Familiarity with operational safety practices and compliance requirements.
• Demonstrated interest in robotics, automation, and applied research.

Competitive equity: stock options with meaningful upside as we scale.

• 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
• Private healthcare, including virtual and in-person care.
• Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
• Free daily breakfast, catered lunch, and snacks in-office.
• Work at the frontier
• collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
• Real ownership
• direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

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