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Job Overview

Working with infrastructure owners, you will lead integrated planning for CPU, storage, and network capacity across OpenAI’s global fleet.

Key points

  1. Translate workload growth and GPU fleet plans into integrated CPU, storage, and network requirements. Partner with engineering to determine the capacity, throughput, bandwidth…

  2. Reconcile current and incoming supply with demand, model constrained scenarios, and drive allocation and prioritization decisions. Lead CPU allocation planning and fulfillment…

  3. Partner with network engineering and deployment teams to translate regional demand into bandwidth and connectivity plans, ordering inputs…

  4. Understand workload architecture and performance requirements well enough to challenge assumptions and influence technical decisions. Help teams evaluate resource sizing, regional placement…

  5. Have directly managed demand forecasting, supply planning, allocations, and capacity operations for CPU or cloud compute infrastructure. You understand how forecasts, inventory, quotas…

  6. Bring technical depth in one or more infrastructure domains and can reason across the dependencies among CPUs, GPUs, storage, and networks.

  7. Understand how workload architecture drives CPU and memory needs, storage capacity and throughput, network bandwidth and latency…

  8. Have worked across multiple cloud providers and understand how provider capabilities, quotas, regional constraints, and commercial commitments affect capacity plans.

Skills

ForecastingAWSAzureGoogle Cloud

Experience: Mid-level · 5+ years · Salary: $207K – $285K • Offers Equity · Job type: Full-time

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