Posted 22 days ago
Sensor Fusion & 3D Reconstruction Engineer
@ LIVESENS
Toronto, Ontario
Requirements summary:
- • 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.
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-10-19
- First seen by our source
- 2026-11-10
- Source record updated
- 2026-11-10
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
LIVESENS
| Field | Value |
|---|---|
| Open jobs on 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
Only you can see this. Kept on this device, and in your account when you sign in.