xAI
Lead, Fiber Technician
Memphis, TN; Southaven, MS
Sponsorship not specifiedDetected 1 day ago
Project ManagementLeadershipCommunicationMentoringFiber Optics
About the role
- You'll combine deep technical expertise with leadership skills to ensure the highest standards of quality, safety, and uptime in a fast-paced, hyperscale environment.
Responsibilities
- Lead and mentor a team of Fiber Technicians while working under the guidance of the Foreman Supervisor, Project Manager, and Superintendent
- Manage all phases of datacenter fiber optic installation projects from planning through execution and handover
- Oversee the development of sensor indicators and conduct timely inspections to maintain optimal fiber optic system performance
- Organize and optimize scheduled maintenance routines
- Lead fiber splicing activities and resolve fiber optic problem areas
- Monitor and maintain signal strength across devices and infrastructure
- Formulate, maintain, and improve system records, documentation, and system designs
Requirements
- 4+ years of direct data center experience installing and routing optical fiber in large-scale Tier 3 or 4 facilities
- Ability to work in tight quarters with necessary physical dexterity
- Ability to lift up to 35lbs, unassisted
- schedule flexibility is required
Skills
- Certification in fiber optics and/or cable installation (e.g., FOA, BICSI)
- Extensive experience in fiber splicing and OTDR testing
- Strong technical knowledge of communication networks and hyperscale data center environments
- Experience installing, certifying, and troubleshooting fiber in hyperscale or AI/HPC data centers
- Knowledge of structured cabling systems
- Proficiency with computers and associated electronic systems
- Deep knowledge of different fiber types (single-mode, multi-mode, etc.)
- This organization is for individuals who appreciate challenging themselves and thrive on curiosity.
- All employees are expected to be hands-on and to contribute directly to the company's mission.
This listing is sourced directly from xAI's careers page and normalized into a canonical job model.