Senior Robotics Software Engineer – Fleet & Navigation Systems - AGF Team
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Before you apply
LocationTokyo
Work modehybrid
Typefull-time
SenioritySenior
Experience3+ yrs
DepartmentLogistics Robotics, Product Development - Software
Company size501–1,000 people
PostedSep 30, 2026 · 1mo ago
Verified live22h ago
At a glanceSummarised by Seekless from the posting.
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
Experience with Fleet Management Systems / multi-robot coordination
Experience with task allocation, scheduling, dispatching, or fleet optimization
Experience with traffic management, resource reservation, and deadlock handling
Experience with Nav2 / ROS2 Navigation Stack
Experience with global/local path planning and motion planning
Experience with LiDAR or camera-based perception
Experience with robot/system orchestration and behavior planning
Experience with low-level vehicle control
Experience with Gazebo, Isaac Sim, or other robotics simulation platforms
Experience with production deployment of autonomous robots in logistics or industrial environments
Skills
C++
ROS2
ROS
Linux
Ubuntu
Nav2
Gazebo
Isaac Sim
LiDAR
About the role
We are looking for a Robotics Software Engineer to develop the software that enables multiple autonomous robots to operate efficiently, safely, and reliably in logistics and industrial environments.
The primary focus of this role is Fleet Management System (FMS), robot orchestration, task management, fleet coordination, and traffic management, with additional involvement in navigation and path planning.
The ideal candidate combines strong C++/ROS2 software engineering skills with a solid understanding of autonomous mobile robotics and real-world robot deployment.
Key Responsibilities
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Design and develop Fleet Management System (FMS) software for autonomous mobile robots.
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Develop task allocation, dispatching, scheduling, robot coordination, and fleet monitoring.
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Implement fleet-level traffic management, resource reservation, deadlock detection, and recovery.
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Develop interfaces between the FMS and individual robot autonomy stacks.
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Develop and integrate navigation and path-planning capabilities, including route planning, obstacle avoidance, and navigation behaviors.
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Integrate FMS, navigation, localization, perception, control, and robot hardware into a complete autonomous system.
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Develop and maintain ROS/ROS2-based robotics software and system interfaces.
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Integrate third-party robotics software and technologies.
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Diagnose complex fleet-level and robot-level failures using logs, telemetry, simulation, and real-robot testing.
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Improve system reliability, scalability, performance, and fault tolerance for production deployment.
Required Qualifications
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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:
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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