Deployment Manager

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.

Nice-to-Haves

• Experience with high-power, high-thermal-density environments.
• Familiarity with AI cluster architecture, topology, and scaling.