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5C Data Centers is an equal opportunity employer. We evaluate all qualified applicants without regard to race, religion, gender, age, national origin, disability, sexual orientation, veteran status, or other protected status.
Senior Manager, AI Cluster Deployment
Location
United States
Posted
28 days ago
Salary
$145K - $175K / year
Seniority
Lead
No structured requirement data.
Job Description
Senior Manager, AI Cluster Deployment
5C Data Centers USA, Inc.
Role Description We are seeking an experienced Senior Manager of AI Cluster Deployment to lead the planning, deployment, integration, and operational readiness of large-scale AI infrastructure environments. This role is responsible for delivering production-grade GPU clusters that support AI training, inference, and high-performance computing workloads across cloud, hybrid, and on-premises environments. The ideal candidate brings deep technical expertise in GPU infrastructure, networking, storage, automation, and datacenter deployment, combined with strong program leadership and cross-functional execution skills. This leader will oversee end-to-end AI cluster deployment initiatives, including hardware integration, rack-and-stack operations, provisioning automation, performance validation, and operational handoff. The role requires hands-on familiarity with modern AI infrastructure tooling and architectures, including Canonical MaaS, VAST Data storage platforms, and both InfiniBand and Ethernet-based GPU networking fabrics. Qualifications - Bachelor's degree in Computer Science, Engineering, Information Technology, or related field (or equivalent experience). - 10+ years of infrastructure engineering or datacenter deployment experience. - 5+ years leading deployment or operations teams supporting large-scale AI, HPC, or GPU infrastructure. - Hands-on experience deploying and operating large GPU clusters in enterprise or hyperscale environments. - Strong expertise with: - Canonical MaaS - Data storage platforms - InfiniBand and Ethernet GPU fabrics - Network architecture - Linux systems administration - GPU server architectures - Strong understanding of: - RDMA and RoCE networking - High-performance storage architectures - Cluster automation and provisioning - Datacenter infrastructure operations - Proven ability to manage complex cross-functional infrastructure deployment programs. Requirements - Experience deploying NVIDIA DGX SuperPOD or similar AI infrastructure solutions. - Familiarity with: - NVIDIA networking technologies - Spectrum-X or Quantum platforms - AI model training infrastructure - Liquid cooling environments - DCIM and observability platforms - Experience in hyperscale, cloud, or AI infrastructure environments. - Certifications in networking, Linux, Kubernetes, or cloud infrastructure are a plus. Benefits - Equal opportunity employer. - We evaluate all qualified applicants without regard to race, religion, gender, age, national origin, disability, sexual orientation, veteran status, or other protected status. Example Titles - Senior Manager, AI Infrastructure Deployment - Senior Manager, GPU Cluster Operations - Director, AI Infrastructure Engineering - Senior Manager, HPC & AI Platforms - AI Datacenter Deployment Manager
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