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Embedded software engineer at Thehumanoid in London developing device software for UMI data collection devices: maintaining the software lifecycle, integrating sensor streams, and ensuring data integrity with validation tools, using C++ and/or Python.
Senior/Staff engineer on the Data Engineering team at a London humanoid robotics startup, building an internal data platform ('Capability Factory') from scratch to curate and process petabyte-scale robot training data. Core work spans scalable data pipelines, workflow orchestration, cloud/Kubernetes infrastructure, and full-stack internal tooling alongside ML teams.
Owns the device software and data pipeline for handheld UMI data collection devices used to demonstrate manipulation tasks that train humanoid robots. Day to day: production C++/Python embedded software, multi-modal sensor fusion and synchronisation, and validation tooling to keep training datasets clean.
Build and integrate application-level software for humanoid robots, connecting control, navigation, perception, and learning systems in C++/ROS2.
Builds backend systems to deploy and manage robot workflows, integrating with AI and product teams to create mission-critical infrastructure.
Senior Data Engineer to design and build a petabyte-scale robotics data platform, owning pipelines and neural training workflows for ML teams.
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