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Who We AreAeroVect 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 willDevelop and optimize radar-based perception pipelines - preprocessing, detection, clustering, and trackingTrain, deploy, and monitor radar object detection models for ground handling environmentsFuse radar data with camera and/or LiDAR for robust multi-modal perceptionBuild and maintain radar data collection, labeling, and evaluation pipelinesArchitect a deterministic secondary perception system with radar as a primary modalityMentor junior engineers on radar perception best practicesYou haveBachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field3+ 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 mitigationExperience with automotive or industrial radar sensors (continental, TI, Oculii, or similar)Python, C++, and ROS2 proficiencyWe PreferPhD in Computer Science, Robotics, Electrical Engineering, or a related disciplineExperience deploying radar models to productionExperience developing CUDA kernelsExperience fusing radar with camera/LiDAR in a production stackFamiliarity with radar-specific datasets (RADIal, RadarScenes, CARRADA, or similar)
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