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Mid-level TPM in metro with broad AI-infrastructure requirements increases competition.
Strong bias toward AI-infrastructure, data center, and HPC backgrounds reduces cross-industry transferability.
Requires 5+ years and specific GPU cluster, HPC, and data-center deployment experience.
Lead end-to-end deployment and delivery of AI GPU cluster infrastructure including hardware, networking, and system integration for production readiness.
Coordinate across multiple teams: Infrastructure Solution Architects, network engineers, hardware vendors, contractors, and data center operations to meet delivery timelines and ensure operational readiness.
Drive cluster validation and performance testing, manage on-site deployment activities, and ensure clusters are ready for production workloads with proper documentation and monitoring integration.
5+ years of experience in Technical Program Management, Infrastructure Program Management, or HPC infrastructure delivery.
Experience with GPU cluster deployments or high-performance computing environments, including familiarity with GPU server architecture and distributed computing infrastructure.
Experience managing data center hardware deployments, system integration, and coordinating multi-vendor infrastructure projects across regions.
Work Experience Required: 5+ years (explicitly mentioned)
Someone with experience collaborating closely with Infrastructure Solution Architects to define system architecture, GPU server selection, network and storage integration, and cluster BOM preparation.
Candidate with proven ability to manage complex, large-scale AI infrastructure deployment projects involving multiple vendors and cross-functional teams in hyperscale or cloud data center environments.
Familiarity with GPU cluster technologies including high-speed networking (InfiniBand/RoCE), cluster validation, benchmarking, and deployment in AI or HPC data center contexts likely to succeed.