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)