Global AI Data Center Deployment Lead

Cerebras; Sunnyvale (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Cerebras Systems is seeking an experienced Deployment Manager to lead end-to-end AI cluster deployments in large-scale data centers. You will drive rack integration, high-density cabling, and coordination with facilities, networking, and operations teams to deliver Cerebras Wafer Scale Engine based clusters on schedule and to strict quality standards.

The role requires hands-on data center deployment expertise, travel, and the ability to guide technicians on the data center floor while ensuring

Qualifications

• Bachelor’s degree in Engineering, IT, or equivalent practical experience.
• 10+ years of experience in data center deployments, infrastructure delivery, or integration roles.
• Ability to provide directions to technicians on data center floor.
• Hands-on experience deploying hyperscale AI, ML, or HPC infrastructure.
• Strong experience with structured cabling in high-density environments, and troubleshooting.
• Proven ability to manage complex, cross-functional deployment programs.
• Familiarity with high-speed fabrics (e.g., InfiniBand, high-bandwidth Ethernet).
• Experience with DCIM or deployment tracking systems.
• Strong attention to detail and operational rigor.
• Ability to perform under tight timelines and production constraints.

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 associated 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) supporting AI fabrics in Data Centers.
• Coordinate inter-rack and intra-rack cabling for AI clusters, including spine-leaf and pod-level designs.
• Ensure proper routing, airflow clearance, labeling, and testing of all AI-related cabling.
• Work closely with facilities teams on power capacity, cooling readiness, containment, and grounding for dense racks.
• Coordinate deployment sequencing with facility commissioning milestones.
• Validate white-space readiness before rack and cluster deployment.
• Provide directions to technicians on the data center floor.
• Troubleshoot cabling, connectivity, and integration issues impacting AI cluster bring-up.
• Lead root-cause analysis for deployment blockers related to cabling, hardware placement, or facilities dependencies.
• Support validation, burn-in, and handoff of AI clusters to operations teams.
• Partner with network, server, AI platform, and operations teams to align on deployment plans and readiness.
• Manage multiple parallel AI cluster deployments across sites or availability zones.
• Communicate risks, dependencies, and milestones clearly to stakeholders.
• Ensure deployments follow company design standards, structured cabling best practices, and AI deployment playbooks.
• Validate as-built documentation, labeling accuracy, and deployment checklists.
• Maintain accurate records for cluster configuration, cabling, and deployment status.
• Enforce EHS, data center safety, and access control procedures during deployment.

Skills

Data center deployments

Leadership on the data center floor

Troubleshooting complex cabling

Cross-functional program management

High-density inter-rack cabling

Provisioning of hyperscale AI/HPC tech

Power and cooling coordination

DCIM/deployment tracking experience

Strong attention to detail

Ability to work under tight timelines

Education

Bachelor’s degree in Engineering or IT

Tools

InfiniBand

DCIM

Structured cabling practice

Job description

Cerebras Systems is seeking an experienced Deployment Manager to lead end-to-end AI cluster deployments in large-scale data centers. You will drive rack integration, high-density cabling, and coordination with facilities, networking, and operations teams to deliver Cerebras Wafer Scale Engine based clusters on schedule and to strict quality standards.

The role requires hands-on data center deployment expertise, travel, and the ability to guide technicians on the data center floor while ensuring