The opportunity
OpenAI's Industrial Compute organization builds and operates the infrastructure required to train and serve frontier AI models. The Capacity Planning team connects rapidly changing research and product demand with the compute, networking, storage, power, data center, hardware,…
What you'll do
Own capacity-planning processes across near-term workload allocation,: quarterly execution, and longer-range infrastructure horizons.
Translate research, training, inference, and product demand into compute,: accelerator, cluster, networking, storage, rack, power, and site requirements.
Develop scenarios that make assumptions, confidence levels, constraints,: sensitivities, and decision points explicit.
Reconcile requested demand against contracted, delivered, installed, activated, and workload-usable capacity.
Partner with research and engineering teams to understand workload: priorities, technical dependencies, utilization patterns, and changing requirements.
Partner with sourcing, finance, hardware, deployment, and operations teams to: align supply commitments, activation schedules, costs, and delivery risks.
What they're looking for
- Support allocation and prioritization decisions when infrastructure is constrained or delivery plans change.
- Track infrastructure lead times, critical dependencies, utilization,: headroom, forecast accuracy, activation readiness, and capacity risk.
- Build dashboards, analytical tools, executive updates, and operating cadences: that create a credible source of truth.
- Drive mitigation plans for site delays, hardware shortages, network or: storage constraints, workload changes, and other capacity risks.
