Cloud Capacity Planner

Cerebras

. 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 .

Posted 11/12/2026full-timeSunnyvale • California • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in capacity planning and forecasting for complex infrastructure, with a strong focus on data center operations, financial analysis, and cross-functional collaboration. Proficient in utilizing analytical tools and methodologies to optimize resource allocation and inform strategic decisions.

Highest-signal resume keywords

Capacity PlanningSQL ProficiencyForecast ModelingData Center Infrastructure KnowledgePython for Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Capacity PlanningDemand ForecastingSupply PlanningScenario AnalysisSQLSpreadsheet ModelingData AnalysisForecast Accuracy TrackingOperational Data ValidationInfrastructure Constraints Understanding

Soft Skills

Clear CommunicationInfluencing DecisionsLeadership UpdatesCross-Functional CollaborationConcise Reporting

Tools & Technologies

Business Intelligence ToolsData Center Infrastructure Management SystemsEnterprise Resource Planning SystemsInfrastructure Inventory Platforms

Industry Keywords

AI Capacity PlanningHigh-Performance ComputingHyperscale CloudColocation EnvironmentsPower Delivery TimelinesLiquid CoolingGlobal Data Center Expansion

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

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 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
Update forecasts when schedules, demand, or infrastructure 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 and present decisions and recovery options to leadership with clear assumptions, owners, and dependencies

Requirements

What you’ll need

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
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 explaining 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
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

Benefits

Comp & perks

Build a breakthrough AI platform beyond the constraints of the GPU
Publish and open source cutting-edge AI research
Work on one of the fastest AI supercomputers in the world
Job stability with startup vitality
Simple, non-corporate work culture that respects individual beliefs
Continuous learning, growth and support
Equal and diverse work environment