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Summary:

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.

Required Skills:

Automated Warehouse Operations Engineer Responsibilities:

1. Must be available to work an 8-hour shift within a 12-hour operational window (7:00 AM - 7:00 PM), with flexibility required for occasional weekend coverage as needed. When a weekend shift is assigned, an alternate weekday off will be scheduled

2. Execute all warehouse standup tasks for new facilities, including MSOW/lease coordination, contingent worker hiring, and general site setup

3. Identify the need for any WMS enhancements and support rollout of any WMS enhancements at the warehouse

4. Maintain roadmap for systems and process improvements to improve throughput, safety and productivity at the site

5. Create and maintain detailed 2D/3D CAD layouts for all new facilities, optimizing for material flow, storage density, and automation readiness

6. Recommend storage media (pallet rack, shelving, VLMs) and Material Handling Equipment (MHE) requirements based on order profiles and SKU velocity

7. Conduct capacity analysis across storage, shipping, and receiving, and develop business cases for new facility designs

8. Plan and oversee installation of floor markings, safety striping, location labeling, and signage

9. Partner with the internal Robotics team on technology selection, vendor selection, Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT) for all automation deployments at the facility

10. Partner with IT and Facilities teams to ensure power, Wi-Fi, Lighthouse/RSE, and security infrastructure meet operational needs

11. Develop storage profiles, zoning, and slotting strategies prior to go-live in support of WMS configuration

12. Manage all required documentation deliverables, including the equipment register, DRP, training log, and org chart

13. Validate SKU master data and ensure compliance with HAZMAT and FAI requirements

Minimum Qualifications:

Minimum Qualifications:

14. Bachelor's degree in Industrial, Mechanical, or Manufacturing Engineering, Supply Chain, or a related field, or equivalent practical experience

15. 7+ years of experience in warehouse/distribution center design, industrial engineering, or facility layout

16. Experience creating 2D/3D CAD layouts (AutoCAD, Revit, SketchUp, or equivalent)

17. Experience specifying storage media (pallet rack, shelving, VLMs) and material handling equipment (MHE)

18. Experience performing capacity, slotting, and material-flow analysis

19. Willingness to work on-site and travel to new-site stand-ups (up to 50%)

Preferred Qualifications:

Preferred Qualifications:

20. Experience designing automated or robotics-enabled warehouses (ASRS, AMRs, conveyance)

21. Experience with greenfield warehouse standup and WMS configuration

22. Knowledge of SOX inventory controls, HAZMAT, and FAI requirements

23. PMP certification or equivalent project management experience

24. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

25. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

26. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Public Compensation:

$115,000/year to $163,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

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