Cloud Capacity Planner
Cerebras · Sunnyvale, CA
About this role
## Cloud Capacity Planner ### About the Team Cerebras Data Center team plans and delivers the infrastructure behind our AI systems—working across site strategy, power and cooling, hardware, networking, supply chain, deployment, and operations to bring reliable capacity online across multiple locations. ### About the Role Translate business and AI infrastructure demand into an integrated capacity plan. Determine where capacity is needed, when it must be available, and which constraints could affect delivery. Partner with Data Center leadership, infrastructure engineering, delivery program managers, supply chain, finance, and commercial teams to connect demand forecasts with available and planned supply. ### Responsibilities - Build and maintain near-term and long-range demand and supply forecasts by site and region, connecting AI compute requirements to system counts, racks, critical power, cooling, and network capacity. - Reconcile customer commitments, expected growth, utilization, and engineering plans; distinguish committed demand from forecast opportunities and document planning assumptions. - Maintain visibility into installed, commissioned, allocated, available, and planned capacity. - Account for operating reserves, redundancy requirements, and capacity that cannot yet support workloads. - Model capacity gaps and expansion scenarios, incorporating utility timelines, construction/commissioning milestones, hardware availability, and supplier lead times. - Recommend when to expand, reserve, or rebalance capacity. - Partner with Finance to assess capital requirements, operating costs, utilization, and tradeoffs between earlier availability and unused capacity. - Partner with delivery TPMs to translate approved capacity plans into site requirements and milestones; update forecasts as schedules, demand, or constraints change. - Work with Data & Tooling partners to establish planning datasets, reconciliation checks, and dashboards. - Track forecast accuracy, capacity coverage, utilization, and changes in expected availability. - Lead recurring capacity reviews, explain material changes, and present decisions and recovery options to leadership with clear assumptions, owners, and dependencies. ### Required Qualifications - 5+ years of experience in capacity planning, infrastructure planning, operations research, supply/demand planning, or a related analytical role supporting complex infrastructure. - Experience building demand and supply models across multiple locations or infrastructure environments, including scenario analysis and reconciliation of changing assumptions. - Understanding of data center capacity constraints and dependencies across electrical power, cooling, space, hardware, networking, and deployment readiness. - Strong SQL and spreadsheet modeling skills; ability to combine operational and financial data, validate results, and explain limits of incomplete information. - Ability to convert forecasts into specific recommendations and influence decisions across engineering, finance, program management, and operations. - Clear written and verbal communication, including concise leadership updates on capacity gaps, timing risks, and decision tradeoffs. - Bachelor’s degree in engineering, computer science, operations research, mathematics, supply chain, or related field (or equivalent practical experience). ### Preferred Qualifications - Experience planning capacity for AI, high-performance computing, hyperscale cloud, or
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