In a warehouse full of activity, where everything is in constant motion, robust localization poses a substantial challenge. Existing robotic solutions rely on expensive custom-built infrastructure to force robots to navigate the warehouse along predefined paths. Any update to this system requires an update to the installed hardware. What if we could detach the robots from such physical anchors and make a layout change as simple as a Software update?
As a SLAM Engineer at Filics, your contribution lies at the heart of this challenge. Together with a multi-national team of experienced Software and Robotics Engineers, you build a custom SLAM system from first principles. Your work enables dynamic scene understanding to robustly localize each robot in this ever changing world, as well as detecting and tracking the goods within the warehouse.
Required Skills
- Proficient in modern C++
- Relevant PhD or 3+ years of experience in a major SLAM or Tech company
Knowledge in any of the following
- Lidar SLAM
- Sparse visual SLAM
- Dense visual SLAM
- Marker based SLAM
- VO, VIO, LIO
- Factor graph optimization
- Camera calibration (extrinsic, intrinsic)
- Sensor synchronization
At Filics, we empower people to build and to create. While frameworks like ROS are a great tool to getting started quickly, we decidedly encourage our team members to write clean and professional C++ code from first principles. Yes, we want you to reinvent the wheel!