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)