Senior Mobile Robot Software Engineer

Your Mission

This position is responsible for ensuring the stable operation, continuous improvement, and performance optimization of AMR and Fleet Management Systems, while leading Proof of Concept (PoC) initiatives in collaboration with headquarters to enhance system capability and scalability. 

What To Expect

• Ensure the stable and scalable operation of AMRs, mobile robots, and material handling systems aligned with the SDF strategy.

• Enhance system robustness and operational continuity through algorithm optimization and hardware performance improvements.

• Identify operational pain points and define improvement roadmaps to resolve performance and reliability issues.

• Lead the development and implementation of improvement initiatives across robotics and transport systems.

• Optimize multi-robot coordination, path planning, task allocation, and traffic control to maximize throughput and efficiency.

• Integrate robotics systems with MES, WMS, and factory digital platforms within the Software Defined Factory (SDF) architecture.

• Establish and monitor KPIs (e.g., uptime, throughput, cycle time) to drive data-driven performance improvements.

• Standardize best practices and system architecture to ensure scalability and maintainability.

• Lead HQ-driven PoC projects and validate new technologies for plant deployment.

• Enable factory-wide horizontal deployment and scalable expansion across production lines and plants.

What You'll Bring

• Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical or Mechanical Engineering, or a related field.

• 5+ years of experience in AMR/AGV, mobile robotics, or material handling system operations and optimization.

• Hands-on experience with AMR and fleet management systems, including multi-robot coordination, automation system integration, and scalable deployment.

• Strong expertise in algorithm optimization, including path planning, SLAM, and task allocation.

• Proven experience in system reliability enhancement and hardware performance improvement.

• Experience integrating robotics systems with MES, WMS, and factory digital platforms within SDF-based architectures.

• Demonstrated ability to establish and monitor KPIs to drive data-driven performance improvement.

• Proven track record in identifying operational issues, leading system performance optimization initiatives, and resolving complex technical challenges.

• Experience collaborating with cross-functional and/or global teams in manufacturing environments.