# Cloud Capacity Planner at Cerebras

Cerebras is hiring a Cloud Capacity Planner for a remote role open to applicants in United States. Level rates it Little AI ●○○○; you can [apply on Cerebras](https://jobsbylevel.com/go/3323721c-1abb-4fe4-aa05-59cb07818f5a?utm_medium=ai-agent).

AI Level 1, AI centrality 20 out of 100. Remote (Sunnyvale, CA).

## Details

- Company: [Cerebras](https://jobsbylevel.com/companies/cerebras)
- AI level: AI Level 1 (score 20 out of 100)
- Location: Remote (Sunnyvale, CA)
- Posted: November 12, 2026
- Apply: https://jobsbylevel.com/go/3323721c-1abb-4fe4-aa05-59cb07818f5a?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=cloud-capacity-planner-at-cerebras-9b4127

## Prepare for this job

The job page lists 2 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/cloud-capacity-planner-at-cerebras-9b4127

## Description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About the Team The Cerebras Data Center team plans and delivers the infrastructure behind our AI systems. We work across site strategy, power and cooling, hardware, networking, supply chain, deployment, and operations to bring reliable capacity online across multiple locations. About the Role We are seeking a Data Center Capacity Planner to translate business and AI infrastructure demand into an integrated capacity plan. You will determine where capacity is needed, when it must be available, and which constraints could affect delivery. Working with Data Center leadership, infrastructure engineering, delivery program managers, supply chain, finance, and commercial teams, you will connect demand forecasts with available and planned supply. Your analyses will 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. 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 the 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, 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 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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/cloud-capacity-planner-at-cerebras-9b4127

Source: https://jobsbylevel.com/jobs/cloud-capacity-planner-at-cerebras-9b4127

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Level. https://jobsbylevel.com/jobs/cloud-capacity-planner-at-cerebras-9b4127.

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