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Telecom Conveyance Engineer, Data Center Infrastructure

Job in New York, New York County, New York, 10261, USA
Listing for: Meta
Full Time position
Listed on 2026-09-12
Job specializations:
  • Engineering
    Systems Engineer, Engineering Design & Technologists, Electrical Engineering
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

Meta is seeking a Telecom Conveyance Engineer to lead the design and standardization of physical conveyance or distribution infrastructure for our telecom systems within our data center campuses across our global data center portfolio. In this role, you will own the technical strategy for how connectivity is routed on our campuses—from outside plant systems to in-building systems that serve every row of computing infrastructure.

This encompasses above ground and underground solutions that include conduit, tray, trench, trellis, and multi-trade rack as well as tunnel solutions.

This is a senior technical role at the intersection of the connectivity and mechanical/electrical/plumbing (MEP) disciplines, as proper coordination is a must to ensure efficiency in design and deployment. There will be a focus on prefabricated and modular solution development. You will define how pathway and conveyance systems are designed, prefabricated, and deployed at hyperscale—driving standardization that enables faster construction delivery while maintaining design integrity across Meta's expanding fleet and helping to reduce overall delivery costs.

You will work directly with our Connectivity Systems Engineering team to ensure distribution infrastructure supports current and next‑generation network architectures while also partnering closely with electrical, mechanical, controls, civil, architectural, and structural engineering teams to develop integrated multi‑trade solutions that optimize for constructability, maintainability, and scalability.

Core focus of this role is advancing Meta's prefabrication strategy for pathway and conveyance assemblies—defining modular design approaches, qualification standards, and deployment frameworks that reduce on-site construction timelines and required installation personnel while improving quality and repeatability at scale.

  • Degree in electrical, mechanical, civil, or architectural engineering
    12+ years of experience in data center or mission‑critical facility design, with significant focus on cable pathway, conveyance, or physical distribution infrastructure
  • Experience designing and specifying cable tray systems (ladder, solid‑bottom, wire mesh), conduit design, electrical busway, and overhead/under‑floor distribution architectures
  • Experience with outside plant design including underground duct banks, conduit routing, manhole/handhole design, and inter‑building connectivity pathways
  • Demonstrated expertise in structured cabling pathway standards (TIA‑568, TIA‑569, BICSI TDMM) and applicable building/electrical codes (NEC, NFPA, IBC)
  • Experience collaborating with civil, structural, and network engineering disciplines to integrate conveyance systems into large‑scale infrastructure programs
  • Ability to resolve complex, multi‑trade coordination challenges and drive alignment across engineering and construction teams Track record of driving standardization across a global portfolio or multi‑site program
  • Experience with hyperscale data center programs involving multiple concurrent facility builds
  • Familiarity with BIM coordination workflows, clash detection, and 4D construction sequencing
  • Proficiency in CAD/BIM tools (Revit, AutoCAD, or equivalent) for pathway design and coordination
  • Experience leveraging computational design or AI tools for pathway routing optimization
  • Knowledge of high‑density fiber pathway requirements for AI/ML cluster connectivity
  • 15+ years of experience spanning data center pathway design and construction delivery
  • Direct experience developing prefabrication strategies, factory qualification programs, or modular construction frameworks at scale
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