Publié il y a 22 jours
Sensor Fusion & 3D Reconstruction Engineer
@ LIVESENS
Toronto, Ontario
Résumé des exigences :
- • Strong understanding of 3D geometry, ICP, and Kalman filtering or factor graph estimation
- • Practical experience with RTK positioning and real sensor calibration
- • Proficiency in Python, ROS2, and Open3D or PCL
- • AI coding tools in your daily workflow
- • A disciplined approach to measuring accuracy and understanding failure cases
- Experience with C++, GTSAM, Ceres, or mobile mapping is a plus.
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-10-19
- Première détection par notre source
- 2026-11-10
- Mise à jour du dossier source
- 2026-11-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
LIVESENS
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 2 |
Company Description
LIVESENS is building the Urban Nervous System. We combine computer vision, LiDAR, and sensor fusion to turn everyday vehicles into infrastructure intelligence. Our Remora platform captures the physical world and transforms it into actionable data that helps cities inspect and maintain infrastructure.
Role Description
Build the accuracy behind the Urban Nervous System.
We’re hiring a Sensor Fusion & 3D Reconstruction Engineer to turn Remora sensor data into repeatable 3D maps for reliable infrastructure measurements.
Working directly with the founders, you’ll own the calibration, positioning, and reconstruction pipelines that make those measurements possible. Target centimeter level accuracy, measure the error, and define the limits.
This is a full time contract position for approximately six months, with a hybrid work arrangement in Hamilton, Ontario. Start ASAP.
What You Will Own
• RTK GNSS and IMU fusion for vehicle trajectories
• Sensor calibration, time synchronization, and motion compensation
• Registration across repeated passes and dense 3D reconstruction
• Dynamic object removal and validation against ground truth
What You Bring
• Strong understanding of 3D geometry, ICP, and Kalman filtering or factor graph estimation
• Practical experience with RTK positioning and real sensor calibration
• Proficiency in Python, ROS2, and Open3D or PCL
• AI coding tools in your daily workflow
• A disciplined approach to measuring accuracy and understanding failure cases
- Experience with C++, GTSAM, Ceres, or mobile mapping is a plus.
Journal
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