Senior Software Engineer, Perception

AeroVect Technologies Inc.; New York (NY); On-site; USD 85,000 - 115,000; Full time

Job summary

AeroVect Technologies Inc. is seeking a skilled engineer to develop radar perception pipelines, train and deploy detection models, and mentor junior engineers. Ideal candidates will have a Bachelor’s or Master’s in a relevant field and 3+ years in radar perception, with a deep understanding of radar fundamentals. A PhD and experience in deploying models or developing CUDA kernels are preferred. This role is crucial in transforming ground handling processes using advanced radar technology.

Qualifications

• 3+ years of focused experience in radar perception, signal processing, clustering, detection, and tracking.
• Deep understanding of radar fundamentals: range-Doppler processing, CFAR detection, beamforming, ghost/multipath mitigation.
• Experience deploying radar models to production is preferred.

Responsibilities

• Develop and optimize radar-based perception pipelines including 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.

Skills

Radar perception

Signal processing

Clustering

Detection

Tracking

Python

C++

ROS2

Education

Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field

PhD in Computer Science, Robotics, Electrical Engineering, or a related discipline

Tools

Automotive or industrial radar sensors

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.

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)