Senior Robotics Software Engineer – Fleet & Navigation Systems - AGF Team

Key Responsibilities

- Design and develop Fleet Management System (FMS) software for autonomous mobile robots.

- Develop task allocation, dispatching, scheduling, robot coordination, and fleet monitoring .

- Implement fleet-level traffic management, resource reservation, deadlock detection, and recovery .

- Develop interfaces between the FMS and individual robot autonomy stacks .

- Develop and integrate navigation and path-planning capabilities, including route planning, obstacle avoidance, and navigation behaviors.

- Integrate FMS, navigation, localization, perception, control, and robot hardware into a complete autonomous system.

- Develop and maintain ROS/ROS2-based robotics software and system interfaces .

- Integrate third-party robotics software and technologies.

- Diagnose complex fleet-level and robot-level failures using logs, telemetry, simulation, and real-robot testing.

- Improve system reliability, scalability, performance, and fault tolerance for production deployment.

Required Qualifications

- Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or related field .

- 3+ years of experience developing software for robotics, autonomous systems, or mobile robots.

- Strong C++ and Linux/Ubuntu development skills.

- Strong hands-on experience with ROS/ROS2 .

- Solid understanding of mobile robot navigation and autonomous systems .

- Experience with AMRs, AGVs, AGFs, autonomous vehicles, or similar robotic systems .

- Understanding of fleet management, multi-robot coordination, task planning, or traffic management .

- Good understanding of path planning, route planning, obstacle avoidance, and navigation .

- Strong system integration and debugging skills.

- Experience deploying and debugging software on real robots .

- Good English communication skills.

Preferred Qualifications

Experience in one or more of the following is a plus:

- Fleet Management Systems / multi-robot coordination

- Task allocation, scheduling, dispatching, or fleet optimization

- Traffic management, resource reservation, and deadlock handling

- Nav2 / ROS2 Navigation Stack

- Global/local path planning and motion planning

- LiDAR or camera-based perception

- Robot/system orchestration and behavior planning

- Low-level vehicle control

- Gazebo, Isaac Sim, or other robotics simulation platforms

- Production deployment of autonomous robots in logistics or industrial environments

What We Are Looking For

A strong robotics software engineer with depth in fleet management and breadth across autonomous robotics .

You should be able to understand how fleet decisions affect individual robot behavior , and how navigation, localization, perception, and control affect fleet-level performance.

For example, when a robot becomes blocked, the candidate should be able to reason across task assignment, traffic management, route planning, localization, perception, and robot execution to identify the appropriate solution.

Fleet Management → Robot Orchestration → Navigation → System Integration → Production Deployment