Senior Assistant Manager (Fleet Management Engineer), AIO Innovation Office (1-yr Contract)

Senior Assistant Manager (Fleet Management Engineer), AIO Innovation Office (1-yr Contract)

Job ID: 7891

Job Function: Administration

Institution: National University Health System

Overview

We are seeking a talented Robotics Fleet Management Developer to join our team. As a Robotics Fleet Management Developer, you will be responsible for designing, developing, and maintaining software solutions for managing fleets of robotic systems. Your work will play a crucial role in optimizing the performance, efficiency, and coordination of robotic fleets across various applications and industries.

Key Responsibilities

1. Design and develop software systems for fleet management, including task allocation, scheduling, routing, and coordination of robotic resources.
2. Implement algorithms and protocols for communication, localization, and synchronization of robotic agents within the fleet.
3. Integrate with existing robotic platforms and control systems to enable centralized fleet management capabilities.
4. Develop user interfaces and dashboards for monitoring and controlling robotic fleets, providing real-time visibility into system status and performance.
5. Collaborate with cross-functional teams to define requirements and specifications for fleet management software, incorporating feedback from stakeholders and end-users.
6. Conduct testing and validation to ensure the reliability, scalability, and robustness of fleet management solutions in real-world environments.
7. Provide technical support and troubleshooting for deployed fleet management systems, addressing issues and implementing enhancements as needed.

Requirements

1. Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or related field.
2. Proven experience in software development for robotics or autonomous systems, with a focus on fleet management or multi-robot coordination.
3. Proficiency in programming languages such as Python, C++, or Java, as well as software frameworks and libraries for robotics (e.g., ROS, ROS 2).
4. Strong understanding of robotics principles, including motion planning, localization, and communication protocols.
5. Experience with distributed systems, network protocols, and cloud computing platforms for scalable fleet management.
6. Familiarity with simulation tools (e.g., Gazebo, V-REP) and robotic middleware for testing and validation of fleet management software.
7. Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.
8. Strong communication and collaboration skills, with the ability to work effectively in multidisciplinary teams.