Robotics Software Engineer (Fleet Management)

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. By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd ("PERSOL") and its local and overseas subsidiaries and affiliates to collect, use and disclose your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services, complying with Government’s health advisories and such other purposes stated in our Privacy Policy. We may use artificial intelligence ("AI") and machine learning technologies to support our recruitment and placement services, including screening resumes, assessing qualifications and experience, and identifying skills and job matches. Where permitted by applicable law, we may also use such personal data to develop, train, test, improve and/or fine-tune AI and machine learning technologies that support our recruitment and business operations. For more information on how we collect, use, disclose and protect your personal data, please refer to our Privacy Policy: https://www.persolsingapore.com/policies.If you wish to withdraw your consent, including consent relating to the use of your personal data for AI-enabled recruitment activities and AI development activities, please email us at sg.dataprotection@persolapac.com.