Note: The job is a remote job and is open to candidates in USA. GMI Cloud is building next-generation AI infrastructure designed for large-scale GPU training and inference workloads. They are looking for a Technical Program Manager to drive the deployment and delivery of GPU cluster infrastructure, coordinating across various teams to ensure production-ready AI clusters.

Responsibilities

• Lead the end-to-end deployment of AI GPU clusters, from infrastructure planning through production launch
• Drive coordination across Infrastructure Solution Architects, network engineers, hardware vendors, and data center teams
• Manage delivery timelines covering hardware deployment, network integration, cluster bring-up, and production readiness
• Work closely with Infrastructure Solution Architects (SA) to define: GPU server platform selection, Network architecture for distributed GPU clusters, Storage integration and cluster infrastructure design, Support development of the cluster Bill of Materials (BOM) including compute, networking, storage, and supporting infrastructure components
• Ensure architecture decisions align with data center constraints such as power density, cooling capacity, and rack layout
• Drive system integration for large-scale GPU clusters, including: Rack elevation planning, GPU server deployment and configuration, High-speed network topology implementation, Power and cooling readiness
• Ensure deployments align with vendor reference architectures and validated cluster designs
• Work closely with General Contractors (GC) and system integrators to manage on-site infrastructure implementation
• Lead contractor onboarding, including SOW development, scope definition, and delivery milestone alignment
• Coordinate and oversee field deployment activities such as: Structured cabling installation, Rack installation and equipment mounting, Network and power connectivity preparation, Hardware staging and deployment logistics
• Coordinate cluster bring-up and validation activities including: Single-node GPU validation, Multi-node cluster deployment, GPU interconnect validation (P2P, RDMA)
• Drive cluster benchmarking, stress testing, and performance verification before production release
• Ensure deployed GPU clusters are fully ready for production workloads by driving: Hardware and network validation, Monitoring and telemetry integration, Operational documentation and runbooks, Handover to operations teams

Skills

• 5+ years experience in Technical Program Management, Infrastructure Program Management, or HPC infrastructure delivery
• Experience with GPU cluster deployments or high-performance computing environments
• Familiarity with GPU server architecture and distributed computing infrastructure
• Experience working with Infrastructure Solution Architects to define system architecture and hardware BOM
• Experience managing data center hardware deployments and system integration
• Ability to coordinate multi-vendor infrastructure projects across regions
• Experience deploying large-scale AI infrastructure or GPU clusters
• Familiarity with: InfiniBand / RoCE / high-speed Ethernet networking
• GPU interconnect validation (P2P / RDMA)
• Rack elevation and high-density rack deployment
• Experience with cluster validation and performance benchmarking
• Background as Systems Engineer, HPC Engineer, or Infrastructure Architect
• Experience working in AI infrastructure, cloud infrastructure, or hyperscale data centers

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