SLAM Software Engineer

Job Description

Our robots require precise and real-time localization, which they achieve by utilizing onboard sensors such as IMUs, lidar, cameras and GNSS. In environments without existing maps, the robot must dynamically create a map while simultaneously localizing itself within it. As our next SLAM Engineer on a growing team, you will be an expert in laser- and camera-based localization techniques and SLAM and enhance these capabilities. You will shape our robots’ ability to navigate with pinpoint precision, and you will be part of a team focused on enabling our robots to navigate autonomously. If you are passionate about robotics and driven to innovate in SLAM and localization, we encourage you to join us in shaping the future of intelligent robotics.

Master’s degree in a relevant field such as Robotics, Machine Learning, Computer Science, or a similar discipline.

A minimum of 3 years of industry or research experience.

Background in computer vision, robotics or autonomous driving, with experience in areas such as 3D visual or LiDAR SLAM, place recognition, structure from motion, filtering, or Bayesian estimation.

Strong mathematical fundamentals including linear algebra, vector calculus, probability theory, and mathematical optimization.

Ability to write production-level code in modern C++, and prototype efficiently in Python.

Experience with deploying SLAM or localization algorithms on hardware platforms.

Experience with state of the art deep learning algorithms for SLAM and localization.

Publications at top-tier conferences.

Experience with ROS/ROS2.