AeroVect
via Ashby
Senior Software Engineer, Perception (Radar)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 67d ago
The date the source published, not the day we noticed it (2026-07-10). Last seen at its source 1h ago.
Is it remote?
Remote, Toronto - Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
New York City, Toronto, San Francisco, Atlanta
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $160.9k–210k/yr
Middle 50% of 740 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 11d ago · last seen 1h ago
The listing
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)