AeroVect Technologies

Senior Software Engineer, Perception

AeroVect Technologies · Remote
Remote Remote was $144K–$180K Closed
Applications are closed for this role. It was originally posted 2026-07-10. It’s no longer accepting applicants — see roles AeroVect Technologies is still hiring for →, or browse the live openings below.
Salary
$144K–$180K
Type
Full-time
Experience
3+ yr

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)
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Applications closed