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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