Slam Computer Vision Engineer

About Luxolis

Based in Toronto, our goal is to change how people communicate by introducing a new method of sharing experiences. We enable small businesses to capture their worksites as 3D models and share and discuss those models using our collaborative tool, OpenAir3D.

Luxolis has made its presence known in the domain of 3D Digital Twins. We have developed state-of-the-art 3D scene, object reconstruction, and CAD solutions over the past two years. We are in the process of creating a 3D Scanner with its dedicated software stack that would enable 3D capturing and visualization of moving objects in a scene.

Responsibilities:

Luxolis believes in mutual growth. That's what we value the most. As part of the company, you will be in charge of the following:

● Contribute to the full-cycle development of SLAM and 3D reconstruction solutions for mobile and embedded handheld platforms, including algorithm designing, software development and testing, integration, documentation, and support.

● Select and evaluate sensors, embedded platforms, and other hardware for SLAM-based indoor navigation systems.

● Contribute to the preliminary design and evaluation of handheld 3D scanners for 3D reconstruction applications.

● This position requires collaborating with a multi-disciplinary engineering team. As a member of this team, you will get the opportunity to be exposed to the latest knowledge and technologies in these disciplines.

Job Requirements:

We need a self-motive, interpersonal and creative person willing to solve challenging problems. The ideal candidate should meet the following requirements:

● M.Sc. degree in Computer Vision, Robotics, or related fields.

● A minimum of 3 years of experience developing SLAM/3D reconstruction solutions for indoor environments and a solid computer vision and sensor fusion background.

● A minimum of 3 years of experience in pose estimation, probabilistic filtering, and sensor fusion.

● Experience in bundle adjustment and backend optimization (e.g., GTSAM, g2o, CERES).

● Experience in manipulating data and modeling errors of different sensors for SLAM applications, including 2D/3D cameras and IMUs.

● Experience in Sensor Calibration (Camera systems – LIDAR – IMUs).

● A minimum of 3 years of experience in object-oriented software development.

● Extensive experience in Linux / Unix operating systems.

● Experience building computation-efficient packages with ROS/ROS2.

● Familiarity with ROS mapping navigation stack.

● Ability to collaborate and communicate complex technical concepts to a wide audience.

● Excellent problem-solving and analytical skills.