Senior Path Planning Engineer

Micropolis Holding Co.; Dubai; On-site; AED 120,000 - 150,000; Full time

Job summary

A leading robotics company in Dubai is seeking an experienced engineer to design and develop algorithms for autonomous vehicle navigation. The ideal candidate will have at least 3 years of experience in path planning and control systems, with a strong background in modern C++. Responsibilities include working on behavior planning and trajectory optimization across various driving environments. This role requires hands-on experience with real-time software development and familiarity with tools such as ROS and CARLA.

Qualifications

• Minimum 3+ years of experience in Path Planning and Control Systems.
• Hands-on experience with modern C++ programming.
• Experience developing real-time and high-performance software systems.

Responsibilities

• Design and develop autonomous vehicle path planning and high-level control algorithms.
• Develop capabilities for behavior planning, trajectory generation, and obstacle avoidance.
• Work on multiple autonomous driving stacks including urban, closed community, and off-road.

Skills

Path planning algorithms (A*, Hybrid A*, RRT)

Trajectory generation and optimization

Behavior planning and decision-making systems

Vehicle kinematics and dynamics in Model Predictive Control (MPC)

Strong programming skills in modern C++ 14/17

Education

Bachelor's or Master's degree in Computer Science, Robotics, or related field

Tools

ROS/ROS2

CARLA

isaacsim

Job description

Location: Dubai, United Arab Emirates (Micropolis Robotics)

Role Responsibilities

In this role, you will:

• Design and develop autonomous vehicle path planning and high-level control algorithms for safe and efficient navigation.
• Develop key capabilities including behavior planning, trajectory generation, obstacle avoidance, speed planning, parking, and vehicle trajectory tracking.
• Work on multiple autonomous driving stacks including urban, closed community, and off-road environments.

Required Qualifications

Minimum 3+ years of experience in Path Planning and Control Systems,

Bachelor’s or Master’s degree in Computer Science, Robotics, Mechatronics, or related field.

Strong understanding of motion planning and control algorithms for autonomous systems.

Hands-on experience with:

• Path planning algorithms (A*, Hybrid A*, RRT, lattice planning, etc.)
• Trajectory generation and optimization
• Behavior planning and decision-making systems
• Cost maps and occupancy grid-based planning
• Vehicle kinematics and dynamics in Model Predictive Control (MPC)
• Trajectory tracking methods

Strong programming skills in modern C++ 14/17.

Experience developing real-time and high-performance software systems.

Preferred Qualifications

Experience working on autonomous driving or robotics navigation systems.

Experience with:

• Behavior trees or state machine-based decision systems
• ROS/ROS2
• Simulation tools such as CARLA, and isaacsim

Experience integrating planning modules with perception and localization stacks.

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