aerovect

Senior Software Engineer, Perception (Radar)

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  • remote
  • FullTime
  • Engineering
  • Remote
  • New York City - Hybrid
  • Toronto - Remote
  • San Francisco
  • Atlanta - Hybrid
Work arrangement
remote
Employment
FullTime
Stated compensation
USD 144,000–180,000 1 YEAR
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Requirements

2 with evidence7 unclear or unstated
Remote policy
remote
“Provider workplace type: remote”
From employer posting metadata
Minimum experience (years)
3
“3+ years of focused experience in radar perception (signal processing, clustering, detection, tracking)”
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Employment type
FullTime
Compensation
USD 144,000–180,000 1 YEAR
7 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
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READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

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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 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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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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