Senior Software Engineer, Perception (Radar)

AeroVect • Bachelor's Degree • C++ • Python • 1 month ago
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Salary
$144k – $180k per year
Location
Remote (New York, San Francisco, Atlanta, United States, Toronto, Canada)
Seniority
Senior · 3+ years exp
Employment
Full-Time
Overview
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AeroVect

AeroVect is an autonomous driving technology company headquartered in San Francisco, California, and founded in 2020. The company develops the AeroVect Driver, an AI-powered software platform designed to automate ground support equipment such as baggage tractors and cargo haulers at airports. Its solutions are deployed at major passenger and cargo hubs globally to improve operational safety, reduce labor costs, and enhance reliability in airside environments.
aerovect.com • HQ: San Francisco, United States • Logistics & Warehouse Robotics • Robotics • Transportation & Logistics • Ground Systems • Space & Aerospace • Air Transport • Artificial Intelligence • Autonomous Driving • 201-500 employees • Est. 2020

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)

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