Robotics Software Engineer (Fleet Management)

PERSOL SINGAPORE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

PERSOL SINGAPORE PTE. LTD. is seeking a Robotics Software Engineer to advance fleet management algorithms for scalable robotic systems. You will design, implement, and validate multi-robot coordination strategies while collaborating with cross-functional teams to ensure reliable deployment and performance.

The role emphasizes research-to-production translation, real-time considerations, and improvements through telemetry analysis.

Qualifications

• A master’s degree or PhD in a robotics, CS, OR, or related field is required.
• Strong background in algorithms, optimization, and operations research with scheduling and routing focus.
• Proficiency in Python, C++, or C# and building scalable software systems.

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 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.

Skills

Robotics algorithms

Multi-agent systems

Optimization

Python

C++

C#

Real-time systems

Data analysis

Education

Master’s or Ph.D. in Computer Science, Robotics, OR related field

Job description

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.