Staff Cloud Capacity Planner

The Cerebras Data Center team plans and delivers the infrastructure behind Cerebras AI systems, working across site strategy, power and cooling, hardware, networking, supply chain, deployment, and operations to bring reliable capacity online across multiple locations. The Data Center Capacity Planner translates business and AI infrastructure demand into an integrated capacity plan, determining where capacity is needed, when it must be available, and which constraints could affect delivery. The role connects demand forecasts with available and planned supply to guide site expansion, equipment planning, and capacity allocation decisions.

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 a clear view of installed, commissioned, allocated, available, and planned capacity, accounting for operating reserves, redundancy requirements, and capacity that cannot yet support workloads; Model capacity gaps and expansion scenarios, incorporating utility timelines, construction and 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, and update forecasts when schedules, demand, or infrastructure constraints change; Work with Data & Tooling partners to establish planning datasets, reconciliation checks, and dashboards, and 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

Requirements

5+ years of experience in capacity planning, infrastructure planning, operations research, supply and 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, with the ability to combine operational and financial data, validate results, and explain the 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 that explain capacity gaps, timing risks, and decision tradeoffs; Bachelor's degree in engineering, computer science, operations research, mathematics, supply chain, or a related field, or equivalent practical experience

Nice to have

Experience planning capacity for AI, high-performance computing, hyperscale cloud, or colocation environments, including high-density infrastructure; Proficiency with Python or another analytical language for forecasting, optimization, and repeatable planning workflows; Experience with business intelligence tools, data center infrastructure management systems, enterprise resource planning systems, or infrastructure inventory platforms; Familiarity with power delivery timelines, liquid cooling, long-lead electrical and mechanical equipment, or global data center expansion; Experience connecting workload demand and service requirements to fleet utilization, capacity reservations, and investment planning