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Robotic Vision Systems Engineer

Job in Vancouver, BC, Canada
Listing for: Blue Signal
Full Time position
Listed on 2026-01-13
Job specializations:
  • Engineering
    Robotics, AI Engineer, Systems Engineer, Computer Science
Job Description & How to Apply Below

Title:

Robotic Vision Systems Engineer

Location:

Vancouver, CA (Hybrid or On-Site)

About the Role:

Our client, a pioneering force in advanced robotics, is seeking a Robotic Vision Systems Engineer to lead development efforts on perception technologies that fuel intelligent automation. In this role, you’ll be at the forefront of integrating vision-based intelligence into autonomous machines, enhancing how robots navigate and interact with the world. This opportunity allows you to make a tangible impact on systems designed for dynamic and unstructured environments.

Key Responsibilities:

• Design and implement computer vision algorithms for detection, tracking, classification, and scene understanding

• Develop SLAM (Simultaneous Localization and Mapping) pipelines to support real-time localization and mapping

• Create and refine visual feedback loops for robotic motion control (visual servoing)

• Optimize performance of vision systems on embedded and edge-computing platforms

• Collaborate with multidisciplinary teams to deliver full-stack robotics solutions

• Conduct thorough validation in both simulated and physical testing environments

Qualifications:

• Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, or a related field

• 2+ years of hands-on experience building real-world computer vision systems

• Solid coding experience in Python and C++, utilizing tools such as OpenCV, ROS, or PCL

• Familiar with machine learning libraries such as PyTorch or Tensor Flow for visual intelligence tasks

• Experience with stereo vision, optical flow, feature extraction, and camera calibration

• Knowledge of SLAM libraries and frameworks (e.g., ORB-SLAM, RTAB-Map, or Cartographer)

Preferred Experience:

• Deployment of vision systems to embedded computing platforms like NVIDIA Jetson or Intel Real Sense

• Background in depth estimation, semantic segmentation, or 3D computer vision

• Familiarity with fusing multi-modal sensor data, including LiDAR and IMU integration

• Prior contributions to open-source projects or relevant academic publications

What’s in It for You:

Competitive compensation and performance-based incentives

• Join a mission-driven, deeply technical team innovating at the edge of robotics and AI

• Access to advanced robotics labs and next-gen development tools

• Flexible hybrid work environment based out of Burnaby, BC

• Opportunity to develop groundbreaking systems that redefine autonomy and perception

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