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Deployment Manager – Global Data Center Build and Deploy

Cerebras· Datacenter
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RemoteFull-timePosted 3mo ago

About the role

Deployment Manager responsible for end-to-end execution of AI cluster deployments in large-scale data centers, from facility readiness to customer hand-off, leading rack integration, high-density inter-rack cabling, and coordination with facilities, networking, and operations to deliver Cerebras Wafer Scale Engine clusters on schedule and to quality standards.

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 (east–west traffic) 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
  • Ensure safe handling of heavy, high-power GPU equipment
  • Proactively identify and mitigate deployment and operational risks

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

Skills

Required:AI cluster deploymentStructured cabling in high-density environmentsHigh-speed inter-rack & intra-rack cablingFacilities coordinationProject/program managementDocumentation & as-built recordsSafety & risk management
Last updated Oct 4, 2026. Interested? Apply on the company site.

About Cerebras

Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.

Cerebras is the go-to platform for fast and effortless AI training.

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