Deploy, maintain and troubleshoot data-center building-management and power-monitoring systems, coordinating installations, commissioning, vendors and on-call service across North Asia.
About this role
On Japan Amazon Logistics’ Innovation Engineering team, the Automation Engineer owns the robotics and material-handling roadmap for delivery stations. The role covers standards, investment planning, and deployment. Work includes selecting opportunities from labor, cost, safety, and operating data; preparing CAPEX/OPEX cases using ROI, NPV, and payback; and leading design, pilot, commissioning, and rollout. The engineer defines layouts, integration, controls, and acceptance criteria, evaluates vendors through RFI/RFP and FAT/SAT, and coordinates with operations, facilities, maintenance, finance, and design. Systems include conveyors, sortation, robotic arms, AGV/AMR, and ASRS; simulation, deployment playbooks, and maintenance strategies support scale. Candidates need 5+ years of industrial, operations, manufacturing, or project engineering in manufacturing; 3+ years leading complex programs with cross-functional, vendor, and budget responsibility; and demonstrated experience designing, deploying, and commissioning automated material-handling systems. Capital-equipment business-case experience and an engineering degree or equivalent work experience are also required.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Lead electrical design and remediation projects in operational data centers, reviewing studies and equipment, managing documents and consultants, and supporting construction through turnover.
Supports data center physical security by maintaining procedures and systems, handling access requests, coordinating vendors, and assisting audits, training, reports, and improvement projects.
Oversees commissioning for leased data centre projects in Japan, managing scope, schedules, inspections, QA/QC, reporting, vendors and issue resolution.
Leads vehicle-system engineering and safety evidence for L4 autonomous driving, aligning control, validation and operational teams and guiding regulatory reviews using real-vehicle test results.
Leads customer-facing technical programs for AI datacenter deployments, coordinating NeoCloud and ODM/OEM partners, server infrastructure, schedules, risks, and production delivery.