Senior SLAM & Localization Engineer for Autonomous Driving

Micropolis Holding; Dubai; On-site; AED 300,000 - 520,000; Full time

Job summary

Micropolis Holding in Dubai is seeking a Senior SLAM and Localization Engineer to design algorithms that let autonomous vehicles know where they are by fusing LiDAR, cameras, GNSS, IMU and HD maps for robust real-time localization.

You will develop SLAM and localization pipelines, sensor fusion, state estimation and mapping across urban, restricted and off-road environments, integrating with perception and planning stacks using C++14/17 and ROS/ROS2.

Qualifications

• Minimum 3+ years of experience in SLAM and localization.
• Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field.
• Strong understanding of SLAM, localization, and sensor fusion algorithms.
• Hands-on experience with LiDAR-based and visual SLAM systems.
• Sensor fusion and state estimation (GNSS, IMU, LiDAR, cameras).
• Mapping and localization pipelines.
• Coordinate transformations and 3D geometry.
• Kalman Filters (EKF/UKF) or factor graph optimization.
• HD mapping and map-based localization.
• Graph-based SLAM and optimization frameworks.
• Strong programming skills in modern C++ 14/17.

Responsibilities

• Design and develop SLAM and localization algorithms for autonomous vehicle navigation and positioning.
• Develop key capabilities including sensor fusion, state estimation, mapping, and real-time vehicle localization.
• Work on multiple autonomous driving stacks including urban, closed community, and off-road environments.
• Integrate LiDAR, cameras, GNSS, IMU, and HD maps data to achieve robust and accurate localization.

Skills

SLAM

Localization

Sensor fusion

C++14/17

Kalman Filters

Graph optimization

HD mapping

ROS/ROS2

Education

Bachelor's or Master in CS/Robotics

Tools

ROS/ROS2

Job description

Micropolis Holding in Dubai is seeking a Senior SLAM and Localization Engineer to design algorithms that let autonomous vehicles know where they are by fusing LiDAR, cameras, GNSS, IMU and HD maps for robust real-time localization.

You will develop SLAM and localization pipelines, sensor fusion, state estimation and mapping across urban, restricted and off-road environments, integrating with perception and planning stacks using C++14/17 and ROS/ROS2.