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Physical Network & Structured Cabling Engineer
Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-10-12
San Francisco, San Francisco County, California, 94199, USA
Listing for:
We Love AI Jobs
Full Time, Remote/Work from Home
position Listed on 2026-10-12
Job specializations:
-
IT/Tech
Network Engineer, Systems Engineer, IT Infrastructure
Job Description & How to Apply Below
OpenAISan Francisco (Hybrid)
Full-time $257,000 – $327,000 / year Upload your resume once and Scout applies for you Apply with Scout Share this job:
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Designs and oversees structured cabling and physical network infrastructure across data centers and campuses. The engineer coordinates with design, construction, hardware, and operations teams to ensure installations meet performance, reliability, and readiness requirements for AI workloads.
* Permanent* Hybrid
* 10+ years
* Bachelor's Degree or equivalent experience### Skills and expertise
Structured cabling
Data center network design
Fiber optics
Copper cabling
Network topologiesANSI/TIABICSICAD### Key responsibilities
* Design physical network infrastructure, including cabling, network rooms, rack layouts, and pathways.
* Set installation standards and acceptance criteria, and oversee testing, commissioning, and handover.
* Coordinate vendors and engineering teams, inspect sites, and resolve physical network issues.## How this job compares
Compared with 522 open senior infrastructure jobs on October 10, 2026.Pay:
This job pays $257K to $327K a year. The 183 open senior infrastructure jobs that publish US pay start at $170K on average, so this job starts about 51% higher.
Similar open jobs:
We Love AI Jobs lists 522 open senior infrastructure jobs at 190 companies.
Remote work:
This job is hybrid. 111 of the 522 senior infrastructure jobs (21%) are remote.
AI in this role:
Low. The company works with AI, but AI is a small part of this role's daily work. The role supports data center infrastructure optimized for AI workloads, but its day-to-day work centers on physical network design, cabling, and installation quality. No AI tools or model work is specified.## Full description
About the TeamOpenAI is on a bold mission to build the world’s most advanced AI infrastructure. We are seeking a Data Center Network and Structured Cabling Engineer with 10+ years of experience in designing and implementing optimized network and structured cabling solutions at large data centers buildings and data center campuses.
The Data Center Engineering team is central to this mission defining infrastructure strategy, driving technical innovation, working with research to set performance benchmarks, and developing reference designs that enable rapid, scalable global deployment.
As part of this team, you will help design and deliver next-generation data center infrastructure optimized for AI workloads. You’ll collaborate across research, site selection, design, construction, commissioning, hardware engineering, deployment, operations, and global partners to bring OpenAI’s infrastructure vision to life.
Role Summary As a Physical Network & Structured Cabling Engineer, you will own the design, implementation, and quality assurance of structured cabling and physical network infrastructure across OpenAI’s global data center footprint. This role bridges design, construction, and operations, ensuring that every layer of our physical networking from fiber trunks to copper patching meets the highest standards of performance, reliability, and scalability.
Key Responsibilities
• Design and specify physical network infrastructure across data center buildings and campuses, including fiber and copper cabling, network rooms, rack layouts, cable trays, and duct bank pathways. Coordinate with other engineering disciplines to ensure network infrastructure space, power, cooling, and operational requirements are incorporated into the overall design
• Develop standards, reference designs, and installation guidelines for structured cabling and physical network deployments.
• Translate logical network architectures and hardware connectivity…
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