Global AI Data Center Deployment Lead

Cerebras; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Job summary

Cerebras Systems seeks a Deployment Manager to drive end-to-end AI cluster deployments in large-scale data centers. You will lead rack integration, high-density inter-rack cabling, and coordinate with facilities, networking, and operations teams to deliver Cerebras Wafer Scale Engine clusters safely and on schedule.

The ideal candidate has deep experience deploying AI infrastructure in high-power, high-thermal-density environments, excels at troubleshooting cabling and integration issues, and is

Qualifications

• Experience deploying AI infrastructure in high-power, high-thermal-density data centers.
• Ability to lead technicians on the data center floor and coordinate cross-functional teams.
• Willingness to travel and be present at customer sites for extended deployments.

Responsibilities

• Lead deployment of AI clusters including Cerebras Wafer Scale Engine, high-speed switches, storage, and rack-level infrastructure.
• Coordinate rack integration of high-density compute, specialized racks, and power components (PDUs, busway drops).
• Ensure deployment aligns with AI cluster architecture, topology, and scaling requirements.
• Manage installation of high-speed interconnect cabling (fiber and copper) for AI fabrics in data centers.
• Coordinate inter-rack and intra-rack cabling for AI clusters, including spine-leaf and pod-level designs.
• Provide directions to technicians on the data center floor and troubleshoot deployment blockers.

Skills

Data center deployment

Rack installation

Cabling and interconnect

Facilities coordination

Job description

Cerebras Systems seeks a Deployment Manager to drive end-to-end AI cluster deployments in large-scale data centers. You will lead rack integration, high-density inter-rack cabling, and coordinate with facilities, networking, and operations teams to deliver Cerebras Wafer Scale Engine clusters safely and on schedule.

The ideal candidate has deep experience deploying AI infrastructure in high-power, high-thermal-density environments, excels at troubleshooting cabling and integration issues, and is