Editorial summary

The company is seeking a Robotics Software Engineer specializing in fleet management algorithms to enhance robotic system efficiency and scalability. The role involves designing and developing algorithms for task assignment, scheduling, routing, and resource allocation, as well as building simulation environments to evaluate fleet strategies. Candidates should have experience in robotic fleet coordination and system validation. The position offers a salary of 6,500.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job https://singapore.job-q.com/jobs/detail/robotics-software-engineer-fleet-management-34933 first appeared in Job-Q.com on 29 Sep 2026]

Brief Summary:

Join a dynamic team as a Robotics Software Engineer, focusing on advanced fleet management algorithms to enhance efficiency and scalability in robotic systems. This role offers the opportunity to develop innovative solutions in a cutting-edge environment.

Responsibilities:

• Design and develop algorithms for robotic fleet management, including task assignment, scheduling, routing, and resource allocation.
• Build and maintain simulation and testing environments to evaluate fleet strategies and validate system performance.
• Develop strategies to improve multi-robot coordination, traffic management, and mission dispatching in dynamic operational environments.
• Analyze robot telemetry and operational data to identify system bottlenecks and drive continuous improvement.
• Collaborate with cross-functional teams to ensure the reliable deployment, integration, and operational performance of fleet management solutions.
• Document system designs and stay up to date with advancements in robotics, multi-agent systems, and logistics optimization.
• Develop scalable software components and services that integrate with robotic systems using modern communication frameworks.

Requirements:

• Master’s or Ph.D. degree in Computer Science, Robotics, Operations Research, Electrical Engineering, or a related field, with experience in robotics, optimization, or large-scale distributed systems.
• Strong background in algorithms, optimization, and operations research, including scheduling, routing, and graph-based methods.
• Proficiency in Python, C++, or C#, with experience developing scalable and maintainable software systems.
• Experience developing algorithms for multi-agent systems, path planning, robotic coordination, and task allocation.
• Familiarity with real-time systems, control theory, and optimization methods.
• Strong data analysis skills, including analyzing robot telemetry, operational logs, and system performance metrics.
• Experience working with robotic fleets or large-scale logistics and automation systems, including simulation and operational experimentation.
• Proven ability to translate research or algorithmic innovation into practical production systems; publications or research contributions are a plus.

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