Localization Engineer – Mapping (m/f/d)

About the role

We are looking for a Localization Engineer specialized in mapping to lead the development of scalable LiDAR‑based mapping workflows for autonomous robotics. The role will initially focus on scaling and optimizing existing LiDAR pipelines and later expand to HD map generation and integration.

Key responsibilities

• Scale and optimise existing LiDAR mapping pipelines for large‑scale, high‑quality map production.
• Automate LiDAR map generation, cleaning and post‑processing to improve efficiency and consistency.
• Develop tools for map validation, visualisation and management.
• Contribute to the generation and integration of HD maps (e.g., Lanelet2, OpenDRIVE).
• Build and maintain internal toolchains for HD‑map editing, alignment and version control.
• Ensure generated maps meet quality standards and integration requirements for autonomous systems.
• Collaborate with localisation, planning and infrastructure teams to deliver production‑ready mapping solutions.
• Support broader software integration and robotics development initiatives as needed.

Required profile

• Bachelor’s, Master’s or PhD in Computer Science, Robotics, Software Engineering or a related field.
• Proven experience with visual or LiDAR‑based mapping and map processing workflows.
• Strong background in point‑cloud processing, feature extraction, registration and mapping optimisation.

Required skills

• LiDAR mapping and point‑cloud processing.
• SLAM frameworks such as Cartographer, LIO‑SAM, FAST‑LIO or LeGO‑LOAM.
• HD‑map formats like Lanelet2 and OpenDRIVE.
• Programming in Python and C++.
• Robotics software architectures, hands‑on experience with ROS/ROS2.
• Linux environment, Docker and Git.