Senior SLAM and Localization Engineer 

Location: Dubai, United Arab Emirates (Micropolis Robotics) 

Role Responsibilities  

In this role, you will: 

• 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.  

Required Qualifications

Minimum 3+ years of experience in SLAM, 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. 

Preferred Qualifications 

Experience working on autonomous driving or robotics localization systems. 

Experience with: 

• Multi-sensor synchronization and calibration 
• ROS/ROS2  

Experience integrating localization modules with perception and planning stacks. 

Proven experience contributing to medium- to large-scale software systems using collaborative development practices (e.g., CI/CD, version control, and system integration workflows).