Cloud Capacity Planner
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](https://openai.com/index/cerebras-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 planni...
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