Senior Software Engineer

This role focuses on building the Perch camera system, working across platform, perception, and ML systems to improve how performance data is collected, processed, and analysed at scale. The position spans real-time devices, backend services, and ML infrastructure, with direct impact on customer experiences. It suits a strong generalist who has seen many parts of engineering and can work hands-on in Python and C++ on devices and services used by customers daily.

• Design and implement algorithms for 3D object tracking, segmentation, and motion recognition on embedded hardware.
• Train and iterate on ML models, from dataset curation through training, evaluation, and deployment to edge devices.
• Help bring ML, computer vision, or signal-processing systems into production with tight performance constraints.
• Build reliable application features and services that customers use in real environments.
• Analyse production data to find system limits, product issues, and opportunities for improvement.
• Collaborate closely with the embedded platform team on model optimisation and inference performance, and with the applications team on how tracking data becomes product features.
• Work across platform, perception, and ML systems to improve how performance data is collected, processed, and analysed at scale, spanning real-time devices, backend services, and ML infrastructure.
• Work hands-on in Python and C++ on devices and services used by customers daily.

• 4+ years of software engineering experience in production systems.
• Strong skill in Python and backend engineering.
• Working knowledge of C++ or a strong reason to be effective in performance-critical code.
• Experience with data-intensive systems, distributed systems, parallel processing, or efficient data pipelines.
• Exposure to ML, ML infrastructure, signal processing, real-time systems, computer vision, or related applied technical areas.
• A track record of shipping reliable software, not only prototypes.
• Strong debugging skills and the ability to find the root cause of complex system behaviour.
• Clear communication and good judgment when tradeoffs are not simple.
• Curiosity, adaptability, and the desire to learn new technical areas.
• Strong generalist background with exposure to multiple areas of engineering.
• Strong engineering judgment, good technical range, and the ability to learn quickly.

• Experience with computer vision, depth cameras, pose estimation, tracking, or 3D data.
• Experience with ML model deployment, feature pipelines, evaluation systems, or data quality tools.
• Experience with streaming data, event systems, real-time processing, or low-latency applications.
• Experience with numerical methods, signal processing, filtering, state estimation, or robotics.
• Experience with high-throughput systems or other complex applications.

• Hybrid working in London.