Lidar Robotics Software Engineer - Remote Opportunity

About the Role

We are seeking a skilled Lidar Robotics Software Engineer (Autonomy / SLAM) remote to join our innovative team. This is a fantastic opportunity to work with cutting-edge technology in the field of robotics, focusing on developing software that enables robots to navigate and operate autonomously within complex environments. You will be part of a growing, well-funded company that is making significant strides in real-world robotic systems.

What You'll Do

• Develop and maintain software for robot localisation and mapping (SLAM).
• Work with LiDAR data to enhance navigation accuracy.
• Build and optimise odometry and mapping algorithms.
• Utilise ROS 2, C++, and Python to create robust, scalable systems.
• Integrate data from multiple sensors, including LiDAR, IMU, and cameras.
• Collaborate with engineering and deployment teams to ensure successful project outcomes.
• Support real-world testing and field deployments as required.

Requirements

• Experience with SLAM, localisation, or robotics perception systems in LiDAR applications.
• Strong programming skills in C++ and/or Python.
• Familiarity with ROS or ROS 2.
• Previous experience with LiDAR or similar sensor-based systems.
• Experience working in a Linux environment.
• Knowledge of working with real-world sensor data.

Nice to Have

• Experience with SLAM frameworks (e.g., Cartographer, LOAM, LIO-SAM).
• Understanding of sensor fusion or state estimation.
• Experience with point cloud processing (PCL, Open3D).
• Evidence of practical work through projects, deployments, or open-source contributions.

What We Offer

• Visa sponsorship if required.
• A competitive salary tailored to your experience and needs.
• Opportunities for innovation and independence in your role.
• Hands-on experience with real-world robotics systems.
• High technical ownership and impact on projects.
• Exposure to modern robotics tools and technologies.
• A collaborative and engineering-focused work environment.
• Occasional travel for hands-on deployment and testing.