Responsibilities and Duties Design, implement and optimize onboard perception algorithms for real time detection, temporal association and state estimation of dynamic objects from a moving platform. Train, retrain and evaluate neural networks for detection and classification, including dataset curation, labelling strategy and evaluation methodology. Optimize models and pipelines for embedded inference, working to explicit latency, throughput and compute budgets. Develop and maintain camera calibration and sensor synchronization procedures, including multi camera and multi sensor setups. Combine visual measurements with inertial and platform state data using filtering and estimation techniques for robust performance under egomotion. Plan and run field test campaigns. Take algorithms from bench to flight, work with pilots and integrators on site, and close the loop on real captured data. Build repeatable evaluation methods so that performance and accuracy are measurable across every iteration rather than judged by eye. Provide input into camera, lens, sensor and compute selection, and evaluate hardware options against real performance data. Take full ownership of computer vision deliverables. Disambiguate requirements, drive alignment across teams, keep stakeholders informed and see work through to the customer. Mentor and coach other engineers, and raise the bar on product quality.
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