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)