Full-time jobs in Vaughan, Ontario

Find full-time jobs in Vaughan, Ontario and nearby towns within 25 km. Read the full details and apply.

Newest first

Within 25 km of Vaughan

Added 9 days ago
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Toronto, ON
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Toronto, ON
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Toronto, ON
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Toronto, ON
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Toronto, ON
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Toronto, ON
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Toronto, ON
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Toronto, ON
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Toronto, ON
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Toronto, ON
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1
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Toronto, ON
Added 9 days ago
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Toronto, ON
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Toronto, ON
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Brampton, ON
Added 9 days ago
Fullstack Perception Engineer
LIVESENS
Toronto, ON
Added 9 days ago
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S M Software Solutions Inc
Toronto, ON
Added 9 days ago
Sensor Fusion & 3D Reconstruction Engineer
LIVESENS
Toronto, ON

LIVESENS

Sensor Fusion & 3D Reconstruction Engineer

Toronto, ON, Canada

Full-time

Within 25 km of Vaughan · About 22.9 km from the city centre

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Job details

Job type: Full-time
Apply by: Apr 17, 2027
Posted: Oct 19, 2026

Original job description

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.

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More about this job

Responsibilities

Own calibration, positioning, and reconstruction pipelines that transform vehicle sensor data into repeatable 3D maps for infrastructure measurement. Develop and validate trajectory fusion, sensor synchronization, motion compensation, repeated-pass registration, dense reconstruction, and dynamic-object removal, while measuring accuracy against ground truth.

Requirements

Candidates should understand 3D geometry, ICP, and Kalman filtering or factor graph estimation, and have practical experience with RTK positioning and real sensor calibration. Proficiency in Python, ROS2, and Open3D or PCL is required, along with a disciplined approach to accuracy measurement and failure analysis; C++, GTSAM, Ceres, or mobile mapping experience is a plus.

Skills

Sensor Fusion
3D Reconstruction
RTK GNSS
IMU Fusion
Sensor Calibration
Time Synchronization
Motion Compensation
3D Geometry
ICP
Kalman Filtering
Factor Graph Estimation
Python
ROS2
Open3D
PCL
Accuracy Validation

Visa sponsorship

Not detected in the job text

Keywords

Sensor Fusion
3D Reconstruction
Urban Infrastructure
Computer Vision
LiDAR
RTK GNSS
IMU
Vehicle Trajectories
Sensor Calibration
Time Synchronization
Motion Compensation
Point Cloud Registration
ICP
Dense 3D Mapping
Dynamic Object Removal
Ground Truth Validation
3D Geometry
Kalman Filtering
Factor Graph Estimation
Python
ROS2
Open3D
PCL
C++
GTSAM
Ceres
Mobile Mapping
Accuracy Measurement

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