Senior SLAM and Localization Engineer

Micropolis Holding Co.; Dubai; On-site; AED 167,400 - 279,000; Full time

Job summary

A robotics company is seeking an experienced engineer to design and develop SLAM and localization algorithms for autonomous vehicle navigation. The ideal candidate will have over 3 years of experience and a relevant degree, along with strong programming skills in modern C++. Responsibilities include working with sensor technologies like LiDAR and cameras to achieve robust localization in various driving environments. Join us to contribute to innovative projects in the robotics industry.

Qualifications

• 3+ years of experience in SLAM and localization.
• Strong understanding of sensor fusion algorithms.
• Experience with LiDAR-based and visual SLAM systems.

Responsibilities

• Design and develop SLAM and localization algorithms.
• Work on multiple autonomous driving stacks.
• Integrate various sensors for accurate localization.

Skills

SLAM

Localization

Sensor Fusion

C++14/17

3D Geometry

Education

Bachelor’s or Master’s Degree in Computer Science, Robotics, or related field

Tools

ROS/ROS2

LiDAR

Job description

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, andoff-road environments.
• Integrate LiDAR, cameras, GNSS, IMU, and HD mapsdata to achieve robust and accurate localization.

Required Qualifications

Minimum3+ years of experience in SLAM, localization.

Bachelor’s or Master’s Degree in Computer Science, Robotics, or 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 inmodern 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).