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.