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humanoid

humanoid - Robotics Engineer (Night Shift)

UK, London+ Equity2d ago
In OfficeEMEAArtificial IntelligenceRoboticsMechanical EngineerC++PythonLinuxProcurementDocumentation

Requirements

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

Responsibilities

• 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.

Benefits

• 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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