Senior Software Engineer, Perception (Radar)

TL;DR

Senior Software Engineer, Perception (Radar) (Robotics/AI): Developing and optimizing radar-based perception pipelines for autonomous ground handling with an accent on preprocessing, detection, clustering, and tracking. Focus on fusing multi-modal data from radar, camera, and LiDAR and architecting deterministic secondary perception systems for aviation environments.

Location: Remote (USA/Canada) or Hybrid (Atlanta, New York City)

Company

hirify.global is a Series A startup transforming ground handling with autonomy for airlines and ground service providers globally.

What you will do

• Develop and optimize radar-based perception pipelines, including preprocessing, detection, clustering, and tracking.
• Train, deploy, and monitor radar object detection models specifically for ground handling environments.
• Fuse radar data with camera and/or LiDAR to create robust multi-modal perception systems.
• Build and maintain pipelines for radar data collection, labeling, and evaluation.
• Architect a deterministic secondary perception system utilizing radar as the primary modality.
• Mentor junior engineers on radar perception best practices.

Requirements

• Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field.
• 3+ years of focused experience in radar perception, including signal processing, clustering, detection, and tracking.
• Deep understanding of radar fundamentals such as range-Doppler processing, CFAR detection, beamforming, and ghost/multipath mitigation.
• Experience with automotive or industrial radar sensors (e.g., Continental, TI, Oculii).
• Proficiency in Python, C++, and ROS2.

Nice to have

• PhD in Computer Science, Robotics, Electrical Engineering, or a related discipline.
• Experience deploying radar models to production environments.
• Experience developing CUDA kernels.
• Experience fusing radar with camera/LiDAR in a production-grade stack.
• Familiarity with radar-specific datasets like RADIal, RadarScenes, or CARRADA.