Automated Warehouse Operations Engineer

Meta Careers; Kansas City (MO); On-site; USD 110,000 - 140,000; Full time

Job summary

Meta is seeking an experienced Automated Warehouse Operations Engineer to lead the end-to-end launch and operation of new automated warehouses. You will own new-site standups, ensure optimal space utilization, MHE integration, automation readiness, and compliance with Meta standards.

This role drives layout decisions, capacity planning, and supports centralized growth across warehouses, data centers, and POP/Hut networks, with up to 50% travel for on-site stand-ups.

Qualifications

• Bachelor's degree in Industrial, Mechanical, or Manufacturing Engineering, Supply Chain, or related field.
• 7+ years of experience in warehouse/distribution center design, industrial engineering, or facility layout.
• Experience creating 2D/3D CAD layouts (AutoCAD, Revit, SketchUp, or equivalent).
• Experience specifying storage media (pallet racks, shelving) and material handling equipment.
• Willingness to work on-site and travel to new-site stand-ups (up to 50%).
• Experience designing automated or robotics-enabled warehouses (ASRS, AMRs, conveyance).
• Experience with greenfield stand-up and WMS configuration.
• Knowledge of SOX inventory controls, HAZMAT, and FAI requirements.
• PMP certification or equivalent project management experience.
• Demonstrated ongoing AI skill development and integrating AI tools to optimize workflows.

Responsibilities

• Own end-to-end launch and operation of all new automated warehouses.
• Drive layout and capacity decisions for efficient space utilization.
• Support centralized warehouse growth across networks and sites.

Skills

Industrial engineering

CAD layouts (2D/3D)

MHE & storage media

Capacity & flow analysis

On-site with travel 50%

Robotics/automation design

Greenfield stand-up & WMS

SOX/Hazmat/FAI knowledge

PM / PMP experience

AI tool integration

Education

Bachelor's degree in Industrial/Mechanical/Manufacturing Eng, Supply Chain or related field

Tools

AutoCAD

Revit

SketchUp

WMS tools

AI tooling orchestration

Job description

Meta is seeking an experienced and results-oriented Automated Warehouse Operations Engineer, who will be responsible for the end-to-end launch and operation of all new automated warehouses across Meta's centralized warehouse network. This position acts as the owner for new-site standups, ensuring each facility is built for optimal space utilization, material handling equipment (MHE) integration, automation readiness, and compliance with Meta's company standards. You will drive layout and capacity decisions, absorb the full scope of warehouse stand‑up work, and directly support the anticipated centralized warehouse growth.

This role is crucial for ensuring that new automated facilities are designed correctly, delivered on time, and built to specification as Meta scales its storage and distribution operations across our warehouses, data centers, and POP/Hut network.

• Bachelor's degree in Industrial, Mechanical, or Manufacturing Engineering, Supply Chain, or a related field, or equivalent practical experience7+ years of experience in warehouse/distribution center design, industrial engineering, or facility layout
• Experience creating 2D/3D CAD layouts (AutoCAD, Revit, SketchUp, or equivalent)
• Experience specifying storage media (pallet rack, shelving, VLMs) and material handling equipment (MHE)
• Experience performing capacity, slotting, and material‑flow analysis
• Willingness to work on‑site and travel to new‑site stand‑ups (up to 50%)
• Experience designing automated or robotics‑enabled warehouses (ASRS, AMRs, conveyance)
• Experience with greenfield warehouse stand‑up and WMS configuration
• Knowledge of SOX inventory controls, HAZMAT, and FAI requirements
• PMP certification or equivalent project management experience
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)