The posting
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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