Overview
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
Full job description
Description
Full Job Description
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
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Develop and optimize radar-based perception pipelines - preprocessing, detection, clustering, and tracking
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Train, deploy, and monitor radar object detection models for ground handling environments
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Fuse radar data with camera and/or LiDAR for robust multi-modal perception
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Build and maintain radar data collection, labeling, and evaluation pipelines
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Architect a deterministic secondary perception system with radar as a primary modality
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Mentor junior engineers on radar perception best practices
You have
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Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field
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3+ years of focused experience in radar perception (signal processing, clustering, detection, tracking)
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Deep understanding of radar fundamentals - range-Doppler processing, CFAR detection, beamforming, ghost/multipath mitigation
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Experience with automotive or industrial radar sensors (continental, TI, Oculii, or similar)
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Python, C++, and ROS2 proficiency
We Prefer
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PhD in Computer Science, Robotics, Electrical Engineering, or a related discipline
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Experience deploying radar models to production
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Experience developing CUDA kernels
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Experience fusing radar with camera/LiDAR in a production stack
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Familiarity with radar-specific datasets (RADIal, RadarScenes, CARRADA, or similar)
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