Posted 4 months ago
Senior Software Engineer, Perception (Radar)
@ AeroVect
Toronto, Ontario
Overview
AeroVect is hiring a Senior Software Engineer for radar perception to build and optimize radar-based detection, clustering and tracking pipelines for ground handling autonomy. The role involves training and deploying radar object detection models, fusing radar with camera and LiDAR, and mentoring junior engineers. It is a full-time position requiring a degree and 3+ years of radar perception experience.
Responsibilities:
- Develop and optimize radar perception pipelines
- Train, deploy and monitor radar object detection models
- Fuse radar data with camera and LiDAR
- Build radar data collection and evaluation pipelines
- Architect a secondary perception system with radar as primary modality
Requirements summary:
- Bachelor's or Master's degree in a related field
- 3+ years of radar perception experience
- Radar fundamentals including CFAR and beamforming
- Experience with automotive or industrial radar sensors
- Python, C++ and ROS2 proficiency
Tools & skills
Source and dates
Employer career site / ATS feed · ashby
- Employer posting date
- 2026-07-10
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-09
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 3+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office, Laboratory |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Education | Bachelor’s degree (required), Master’s degree (preferred), Doctorate (preferred) |
| Fields of study | Computer Science, Robotics, Electrical Engineering |
Summary and details written by AI from the posting; the employer’s posting is the authority.
AeroVect
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
The Airport Automation Company
Full company description
AI-powered airport logistics automation solutions, trusted by the world's largest airlines and airports.
- LinkedIn followers
- 5,376
- People associated on LinkedIn
- 63
- Reported office locations
- 233 E Harris Ave, South San Francisco, California 94080, US
- Toronto, Ontario, CA
- Atlanta, Georgia 30308, US
- Frankfurt, DE
- New York, 10007, US
- Business categories
- Air Transportation
- Robotics
- Software
- Logistics
- Transportation
- Artificial Intelligence (AI)
- Aerospace
- Autonomous Vehicles
- Manufacturing
- Other recorded names
- AeroVect
- Specialties
- Aviation
- Autonomous Driving
- Aerospace
- Transportation
- Logistics
- Airport Automation
- Physical AI
- and Artificial Intelligence
- Profile identifies a recruitment agency
- No
- Reported total investment
- 27,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
AI-powered airport logistics automation solutions, trusted by the world's largest airlines and airports.
| Field | Value |
|---|---|
| Industry | Airlines and Aviation |
| Company size | 51-200 employees |
| Headquarters | South San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2020 |
| Specialties | AviationAutonomous DrivingAerospaceTransportationLogisticsAirport AutomationPhysical AIand Artificial Intelligence |
| Open jobs on Jobsy | 17 |
| View page |
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)
Journal
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