Staff Cloud Capacity Planner
Cerebras · Sunnyvale, CA
Infrastructureremotesenior
At a glance
Highlights
- Translate AI compute demand into integrated capacity plans across sites and regions.
- Model expansion scenarios across power, cooling, construction and hardware timelines.
- Guide site expansion and capacity allocation for world’s largest AI chip systems.
Ideal candidate
Analytical infrastructure planner with 5+ years turning uncertain demand into clear capacity decisions. You thrive connecting engineering, finance, and operations and communicating tradeoffs to leadership.
Requirements
- 5+ years in capacity planning, infrastructure planning, operations research, or supply/demand planning for complex infrastructure
- Experience building demand and supply models across multiple locations with scenario analysis and assumption reconciliation
- Understanding of data center constraints across power, cooling, space, hardware, networking and deployment readiness
- Strong SQL and spreadsheet modeling skills combining operational and financial data
- Ability to turn forecasts into recommendations and influence engineering, finance and operations decisions
- Clear written and verbal communication, including concise leadership updates
- Proficiency with Python or another analytical language for forecasting and planning workflows
- Experience with BI tools, DCIM, ERP, or infrastructure inventory platforms
- Familiarity with power delivery timelines, liquid cooling, long-lead equipment and global data center expansion
- Experience connecting workload demand to fleet utilization, capacity reservations and investment planning
Lab profile
About Cerebras
Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.
What they build
- Wafer-scale AI chips
- AI training systems
- Cloud inference service
Known for
- 56x larger chips than GPUs
- 10x faster inference than GPU clouds
- Industry-leading training speed
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