aerovect
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 http://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)