Posted 4 months ago
Senior Software Engineer, Localization (Calibration)
@ AeroVect
Toronto, Ontario
Overview
AeroVect is hiring a Senior Software Engineer for its Localization team to own calibration systems for autonomous ground handling vehicles at major airports. The role covers hardening the offline calibration stack, building online calibration validation, and contributing to localization and mapping. Full-time, with a stated minimum of 5 years of robotics or autonomous vehicle experience.
Responsibilities:
- Own the offline and online calibration stack across the sensor suite
- Design online calibration validation for live autonomous missions
- Contribute to localization, mapping and sensor integration
- Build calibration health logging and diagnostics tooling
- Deploy and test using data from active airport operations
Requirements summary:
- 5+ years in robotics or autonomous vehicles
- Hands-on multi-sensor calibration and localization experience
- Non-linear optimization or filtering experience (Ceres, GTSAM, g2o, EKF, UKF)
- Strong C++17 with Linux and ROS/ROS2
- BS or MS in Computer Science, Robotics or Engineering
Tools & skills
Source and dates
Employer career site / ATS feed · ashby
- Employer posting date
- 2026-07-24
- 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 | 5+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office, Client sites |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required), Master’s degree (preferred) |
| Fields of study | Computer Science, Robotics, Electrical Engineering, Mechanical 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.
We are looking for a Senior Software Engineer to join the Localization team and take ownership of our calibration systems — from robustifying and stabilizing the existing offline calibration stack, through adapting it for new sensors and environments, to building online calibration validation for continuous autonomous operations at major airports. Beyond calibration, you will contribute to the broader localization, mapping, and sensor integration efforts as the team scales. You will work under the supervision of a Staff Localization Engineer and collaborate closely with the Perception, Planning, and Infrastructure teams.
You Will
Own the calibration stack end-to-end — improve reliability of existing offline calibrations, close coverage gaps across the sensor suite (LiDAR, IMU, GNSS, cameras, radar), and ensure every calibration is repeatable, traceable, and has clear pass/fail criteria
Design and build an online calibration validation system that monitors cross-sensor consistency during live missions, detects drift, and integrates with the vehicle's safety architecture
Contribute to the localization and mapping pipeline — sensor integration, performance tuning, regression testing, and deployment to new operating environments
Develop tooling for calibration health logging, diagnostics, and post-mission analysis
Deploy, test, and iterate using data from real autonomous operations at active airports
You Have
5+ years of experience in robotics or autonomous vehicles with hands-on work in sensor calibration, localization, or state estimation
Strong practical knowledge of multi-sensor calibration - intrinsic, extrinsic, and temporal - across LiDARs, IMUs, GNSS, and cameras
Proven experience with non-linear optimization frameworks (Ceres, GTSAM, g2o) or filtering approaches (EKF, UKF)
Strong C++ skills (C++17+) and working experience with Linux and ROS/ROS2
Understanding of how calibration quality propagates through localization and perception
BS or MS in Computer Science, Robotics,Electrical/Mechanical Engineering, or related field
We Prefer
MS or PhD with a focus on calibration, localization, or state estimation
Experience building online/runtime calibration monitoring for deployed autonomous systems
Experience with factor graphs, graph-based SLAM, or open-source tools like Kalibr, LIO-SAM, GLIM, Ceres, GTSAM
Track record of deploying calibration or localization systems on real hardware in production environments
Experience defining safety-relevant thresholds and working with safety monitoring architectures
Familiarity with OpenCV, PCL, or Open3D
Journal
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