The Robotics Technician is 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. This role operates within a rotating shift schedule to ensure continuous support for robotics fleet operations and data‑collection activities. Shift patterns: Morning Shift: 07:00‑15:30; Evening Shift: 15:30‑00:00.
What You'll Do
- 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.
Qualifications
- 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).
Benefits
- Competitive salary plus participation in our Stock Option Plan
- Paid vacation
- Travel opportunities to our London and Vancouver offices
- Comprehensive health insurance coverage
- 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