Structured Cabling Design Engineer (Data Center)

Location: Remote - Europe; occasional site surveys and field inspections may be required. Applicants must be authorized to work in the country where they apply.

Company

Nebius builds a full-stack AI cloud platform covering data and model training through production deployment, with infrastructure spanning compute, storage, networking, and applied AI.

What you will do

• Develop end-to-end structured cabling designs for new-build, expansion, retrofit, and capacity-add data center projects.
• Design fiber-optic and copper systems for network, compute, storage, management, security, and building infrastructure.
• Create MDF, IDF, MMR, network room, data hall, backbone, cross-connect, pathway, routing, and equipment connectivity designs.
• Produce single-line diagrams, cabling schematics, rack elevations, patching diagrams, connectivity schedules, bills of materials, and as-built documentation.
• Coordinate designs with network, electrical, mechanical, architectural, security, construction, operations, vendors, and deployment teams.
• Review construction packages, BIM/CAD models, submittals, RFIs, vendor proposals, installation work, certification results, commissioning, and project closeout.

Requirements

• 5+ years of experience designing structured cabling, telecommunications, physical network infrastructure, or data center infrastructure.
• Strong experience in mission-critical or data center environments.
• Demonstrated knowledge of single-mode and multimode fiber-optic infrastructure.
• Experience determining fiber counts, cable and connector types, patch-panel requirements, termination methods, and pathway capacity.
• Knowledge of Category 6/6A copper systems and applicable TIA, BICSI, IEEE, NEC/NFPA, ISO/IEC, and manufacturer standards.
• Ability to work across multiple concurrent projects and maintain design quality and schedule commitments.

Culture & Benefits

• Remote work with flexibility and ownership.
• Competitive compensation and career growth opportunities.
• Learning opportunities in a fast-moving, innovative environment.
• Collaborative international teams working on impactful AI infrastructure projects.
• Opportunity to shape the future of AI cloud infrastructure.