Deployment Manager – Global Data Center Build and Deploy

Cerebras
Sunnyvale
Workplace: RemoteFull timeFunction: Design (Product/UX/UI/Visual)Education: bachelorsSkills: ["Troubleshooting","Attention to detail","Operational rigor","Risk management","Cross-functional collaboration"]

Own end-to-end execution of AI cluster deployments inside large data centers, from facility readiness (power and cooling) through customer hand-off. Lead rack integration for Cerebras Wafer Scale Engine systems, manage high-density inter- and intra-rack cabling for AI fabrics, coordinate with facilities/network/operations teams, and troubleshoot bring-up blockers. Ensure deployments meet strict quality, standards, documentation, and safety requirements while directing technicians on-site.

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FursaFursa
Cerebras
Cerebras
1 month ago

Deployment Manager – Global Data Center Build and Deploy

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Own end-to-end execution of AI cluster deployments inside large data centers, from facility readiness (power and cooling) through customer hand-off. Lead rack integration for Cerebras Wafer Scale Engine systems, manage high-density inter- and intra-rack cabling for AI fabrics, coordinate with facilities/network/operations teams, and troubleshoot bring-up blockers. Ensure deployments meet strict quality, standards, documentation, and safety requirements while directing technicians on-site.
Location: Sunnyvale
Workplace: Remote
Employment Type: Full time
Job Function: Design (Product/UX/UI/Visual)
Seniority: Manager level

Key Responsibilities

  • •Lead end-to-end deployment of AI clusters, including Cerebras Wafer Scale Engine, high-speed switches, storage, and rack-level infrastructure.
  • •Coordinate rack integration and power-related components (PDUs, busway drops) for high-density compute and specialized racks.
  • •Manage installation and testing of high-speed interconnect cabling (fiber/copper) supporting AI fabrics, including spine-leaf and pod-level layouts.
  • •Coordinate with facilities on power, cooling, containment, and grounding; validate white-space readiness and direct technicians on the data center floor.
  • •Troubleshoot cabling, connectivity, and integration issues; lead root-cause analysis for deployment blockers and support validation, burn-in, and handoff.
Travel: High travel

Key Requirements

  • •Bachelor’s degree in Engineering, IT, or equivalent practical experience.
  • •10+ years of experience in data center deployments, infrastructure delivery, or integration roles.
  • •Hands-on experience deploying hyperscale AI, ML, or HPC infrastructure.
  • •Strong experience with structured cabling in high-density environments, including troubleshooting.
  • •Familiarity with high-speed fabrics (e.g., InfiniBand, high-bandwidth Ethernet) and experience with DCIM or deployment tracking systems.
Experience:Data centersAI infrastructureHPCMLHyperscale
Education:Bachelor's
Skills:TroubleshootingAttention to detailOperational rigorRisk managementCross-functional collaboration
Tech Stack:Cerebras Wafer Scale EngineHigh-speed interconnect cablingFiberCopperAI fabricsSpine-leafPod-level designsPDUsBusway dropsInfiniBandHigh-bandwidth EthernetDCIMDeployment tracking systems

Company Brief

Cerebras
Designs and builds wafer-scale AI accelerators and systems for large-scale deep learning workloads, delivering specialized hardware and software to accelerate model training and inference for enterprises and research institutions.
Industry: Hardware Devices
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Sunnyvale, United States
Founded: 2016
WebsiteLinkedIn