Senior Software Engineer, Perception (Radar)

Roboticsconnected; South San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

AeroVect is seeking a radar perception engineer to develop and optimize radar-based perception pipelines for ground handling. You will train and deploy radar object detection models and fuse radar data with camera/LiDAR in production environments, while building data collection and evaluation pipelines.

The role requires strong fundamentals in radar processing and experience with ROS2, Python, and C++. You will mentor junior engineers and contribute to production-grade radar systems in a

Qualifications

• 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.

Responsibilities

• 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.

Skills

Radar perception

Python

C++

ROS2

Education

Bachelor's or Master's in CS/Robotics/EE

Tools

ROS2

CUDA

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 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)