Robotics Software Engineer to develop autonomous perception, localization, and robotics solutions using ROS/ROS2, SLAM, and computer vision for industrial

Our client is seeking a Robotics Software Engineer to develop autonomous perception, localization, and robotics solutions using ROS/ROS2, SLAM, and computer vision for industrial automation environments

This is an in office role in Saskatchewan with some travel to field locations. It is a year long contract.

Must have:

· 5+ years of experience in Robotics Software Engineering, Autonomous Systems, or Robotics Automation development

· Strong programming experience in Python and/or C++ for robotics and real-time systems

· Hands-on experience with ROS or ROS2, including nodes, topics, services, actions, and TF

· Experience with SLAM, localization, navigation, or robotic perception systems

· Experience integrating cameras, LiDAR, IMUs, Radar, or multi-modal sensor systems

· Experience developing or deploying robotics systems in operational, industrial, or real-world environments

· Strong understanding of software engineering best practices including testing, version control, and code quality

Nice to have:

· Bachelor’s or Master’s degree in Engineering, Computer Science, Robotics, Physics, Mathematics, or a related field.

· Experience in industrial automation, mining, automotive, manufacturing, or field robotics environments

· Experience with Nav2, Cartographer, RTAB-Map, or similar robotics navigation frameworks

· Exposure to motion planning, sensor fusion, or state estimation

· Experience with robotics simulation tools such as Gazebo, Ignition, or Isaac Sim

· Experience deploying robotics or AI workloads on edge compute infrastructure

· Experience working in safety-critical or operational technology (OT) environments

What you will be doing:

· Design, develop, and maintain ROS/ROS2‑based robotics software for perception, localization, and autonomy.

· Implement and integrate computer vision pipelines for robotic perception, including object detection, tracking, and scene understanding using cameras, LiDAR, and other sensors.

· Develop and apply SLAM and localization techniques for mobile robots and autonomous machines operating in GPS‑denied or complex environments.

· Integrate perception, SLAM, and planning components with robotic platforms, automation systems, and edge compute infrastructure.

· Collect, curate, label, and analyze multi‑modal sensor data (camera, LiDAR, IMU, RADAR) to support development and validation of robotics algorithms.

· Optimize perception and robotics algorithms for real‑time performance, robustness, and deployment on edge hardware.

· Support in‑field testing, commissioning, and validation of robotic systems; diagnose performance issues and implement reliability improvements.

· Collaborate with controls, electrical, and mechanical teams to ensure seamless integration with physical systems.

· Maintain clear documentation, ROS packages, launch files, and well‑tested code to support long‑term operation and maintainability.