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Job Overview

As a Technical Program Manager for Compute Infrastructure, you will own the supply signal for all GPUs entering our fleet: a reliable view of what capacity is arriving, where and when it will arrive, and when it is expected to become usable.

Key points

  1. Own the GPU supply signal across the fleet. Maintain a trusted view of incoming capacity across providers, sites, and clusters, including quantities…

  2. Connect supply with capacity planning. Partner with Capacity Planning on supply and demand management, allocation planning…

  3. Lead logical readiness across infrastructure resources. Coordinate CPU, storage, network, GPU, Kubernetes, and dependent compute foundation services so new clusters can support their intended…

  4. Drive deployment across cloud and bare metal environments. Lead integrated plans across AWS, GCP, Azure, OCI, and other infrastructure partners…

  5. Possess a degree in a hard science or engineering discipline, or have a demonstrated track record of equivalent engineering expertise.

  6. Are familiar with Kubernetes deployments and have worked with at least one major cloud provider—such as AWS, GCP, Azure…

  7. Are familiar with bare metal GPU capacity and the provisioning, inventory, and planning systems used to bring it into service.

  8. Have experience defining requirements for operational data and internal platforms. You can work with engineers to establish useful data models, improve data quality…

Skills

ForecastingAWSAzureGoogle CloudKubernetesStakeholder ManagementRoadmapping

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

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