WHO WE ARE AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com. YOU WILL * Develop and optimize radar-based perception pipelines - preprocessing, detection, clustering, and tracking * Train, deploy, and monitor radar object detection models for ground handling environments * Fuse radar data with camera and/or LiDAR for robust multi-modal perception * Build and maintain radar data collection, labeling, and evaluation pipelines * Architect a deterministic secondary perception system with radar as a primary modality * Mentor junior engineers on radar perception best practices YOU HAVE * Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field * 3+ years of focused experience in radar perception (signal processing, clustering, detection, tracking) * Deep understanding of radar fundamentals - range-Doppler processing, CFAR detection, beamforming, ghost/multipath mitigation * Experience with automotive or industrial radar sensors (continental, TI, Oculii, or similar) * Python, C++, and ROS2 proficiency WE PREFER * PhD in Computer Science, Robotics, Electrical Engineering, or a related discipline * Experience deploying radar models to production * Experience developing CUDA kernels * Experience fusing radar with camera/LiDAR in a production stack * Familiarity with radar-specific datasets (RADIal, RadarScenes, CARRADA, or similar)