Publié il y a 4 mois
Senior Software Engineer, Localization (Calibration)
@ AeroVect
Toronto, Ontario
En bref
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.
Responsabilités :
- 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
Résumé des exigences :
- 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
Outils et compétences
Source et dates
Site carrière / système de candidatures · ashby
- Date publiée par l’employeur
- 2026-07-24
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-10-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 5 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau, Chez les clients |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé), Maîtrise (préféré) |
| Domaines d’études | Computer Science, Robotics, Electrical Engineering, Mechanical Engineering |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
AeroVect
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
The Airport Automation Company
Description complète de l’entreprise
AI-powered airport logistics automation solutions, trusted by the world's largest airlines and airports.
- Abonnés LinkedIn
- 5 376
- Personnes associées sur LinkedIn
- 63
- Bureaux déclarés
- 233 E Harris Ave, South San Francisco, California 94080, US
- Toronto, Ontario, CA
- Atlanta, Georgia 30308, US
- Frankfurt, DE
- New York, 10007, US
- Catégories d’activité
- Air Transportation
- Robotics
- Software
- Logistics
- Transportation
- Artificial Intelligence (AI)
- Aerospace
- Autonomous Vehicles
- Manufacturing
- Autres noms enregistrés
- AeroVect
- Spécialités
- Aviation
- Autonomous Driving
- Aerospace
- Transportation
- Logistics
- Airport Automation
- Physical AI
- and Artificial Intelligence
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 27 000 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
AI-powered airport logistics automation solutions, trusted by the world's largest airlines and airports.
| Champ | Valeur |
|---|---|
| Secteur | Airlines and Aviation |
| Taille | 51-200 employees |
| Siège social | South San Francisco, California |
| Type d’organisation | Privately Held |
| Fondée en | 2020 |
| Spécialités | AviationAutonomous DrivingAerospaceTransportationLogisticsAirport AutomationPhysical AIand Artificial Intelligence |
| Offres sur Jobsy | 17 |
| Voir la 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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