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Global Capacity Manager

Baseten ·San Francisco ·Onsite 6d ago
KubernetesGoPython

About the role

Baseten is seeking a Global Capacity Lead to architect, secure, and optimize the global GPU fleet powering AI workloads. This high-stakes engineering role involves managing multi-million dollar GPU clusters, ensuring 99.9% uptime across multi-cloud environments, and building automation for capacity management. Responsibilities include leading specialized GPU pods, executing complex workload migrations, designing scalable capacity systems, financial modeling for GPU spend, cross-team partnership,

Requirements

Bachelor's, Master's, or Ph.D. in Computer Science or related field; 5+ years in high-growth environment; deep K8s expertise (taints, cordons, node draining, custom operators); production-level Go or Python; strong financial literacy for capacity vs cost trade-offs; high tenacity and collaborative mindset.

About the company

Baseten

Baseten provides the Baseten Inference Stack, a platform for high-performance AI model deployment and management across any cloud. They offer the fastest model runtimes, cross-cloud high availability, and seamless developer workflows to help businesses bring AI products to market quickly and efficiently.

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$170k–230k
Onsite San FranciscoSan Francisco, US
Posted 6d ago
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About the company
Baseten
https://www.baseten.co

Baseten provides the Baseten Inference Stack, a platform for high-performance AI model deployment and management across any cloud. They offer the fastest model runtimes, cross-cloud high availability, and seamless developer workflows to help businesses bring AI products to market quickly and efficiently.

View company page →