Lead - Perception (UAVs)

Lead development of UAV perception pipelines for object detection, tracking, mapping, and obstacle avoidance. Architect multi-sensor fusion frameworks combining cameras, LiDAR, radar, GPS, and IMU to ensure real-time execution on embedded hardware. Develop and deploy ML/DL models for vision-based detection, semantic segmentation, and scene understanding, optimizing for latency, robustness, and power efficiency in adverse environments. Collaborate with autonomy and controls engineers to integrate perception outputs into planning, navigation, and control loops. Define testing protocols in simulation and real-world flight, analyzing logs to improve performance. Stay at the cutting edge of computer vision and robotics to evaluate state-of-the-art techniques for certifiable, safety-critical systems.