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Autonomous Mobile Robot Engineer

Remote, USA Full-time Posted 2025-11-03
Position Summary: We are seeking a skilled and motivated AMR Engineer with hands-on experience in Geek+ Goods-to-Person (G2P) systems to join our warehouse automation team. This role will focus on the deployment, integration, optimization, and ongoing support of Geek+ AMR solutions in high-throughput fulfillment environments. Key Responsibilities: • System Integration & Configuration • Configure and deploy Geek+ RMS (Robot Management System) and GPS (Geek+ Picking System). • Integrate Geek+ systems with Warehouse Management Systems (WMS) via APIs or middleware. • Set up and calibrate AMRs, pick stations, and navigation infrastructure (QR codes, Lidar, etc.). • Operational Optimization • Monitor and fine-tune robot routing, task allocation, and inventory slotting strategies. • Analyze system performance metrics and implement improvements to increase throughput and accuracy. • Collaborate with operations teams to ensure seamless day-to-day performance. • Technical Support & Troubleshooting • Diagnose and resolve issues related to robot behavior, system connectivity, and task execution. • Serve as the technical liaison with Geek+ support and internal IT teams. • Data & Analytics • Develop dashboards and reports to track KPIs such as pick rate, robot utilization, and system uptime. • Use data insights to drive continuous improvement initiatives. • Documentation & Training • Create SOPs, technical documentation, and training materials for internal teams. • Train warehouse staff and IT personnel on system usage and best practices. Qualifications: • Bachelor’s or Master’s degree in Robotics, Computer Science, Industrial Engineering, or related field. • 3+ years of experience working with AMR systems, with at least 1 year focused on Geek+ G2P. • Strong understanding of warehouse operations and automation workflows. • Proficiency in: • WMS/RMS integration • Python, SQL, or similar scripting languages • Networking and wireless communication protocols • Familiarity with SLAM, Lidar, and QR code-based navigation. • Excellent problem-solving and communication skills. Preferred Qualifications: • Experience with other G2P systems (e.g., AutoStore, Exotec). • Knowledge of cloud-based infrastructure and IoT device management. • Project management experience in automation deployments. Apply tot his job Apply To this Job

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