Infrastructure Architect

We are looking for a Principal Infrastructure Architect to join our IT PMO organization to take responsibility and lead the design, orchestration, and lifecycle management of our next-generation GPU Farm and AI Factory environments. This role is unique in its breadth, requiring a deep understanding of high-performance AI compute stacks alongside the disciplined management of physical data center assets and their long-term operational health. AI & GPU Infrastructure Design (GPU Farm / AI Factory)Lead the architectural design and refinement of the Nutanix GPU-as-a-Service (GPUaaS) platform, ensuring a seamless experience for internal R&D, QA, and Sales teams.Provide technical leadership in some of the key initiatives such as Nutanix Validated Designs (NVD) for the AI Factory, incorporating NVIDIA MGX/HGX architectures and high-density Cisco nodes (e.g., UCS 845A).Architect the Management Cluster control plane (NKP, Prism Central, NuDeploy) to ensure it is decoupled from GPU compute nodes for maximum efficiency.Implement policy-driven placement of workloads across on-prem and cloud-burst environments. Required Qualifications Bachelor's degree in Information Technology, Business, or a related field5+ years of experience in Data Center projects in an enterprise environmentKnowledge of Cisco, Dell, HPE, Supermicro hardware.Hardware Expertise: Deep knowledge of Cisco HW, NVIDIA GPU architectures (H100, B200, RTX 6000 Pro) and high-speed interconnects (RoCE v2, InfiniBand).Infrastructure Mastery: Extensive knowledge and experience with Data Center infrastructure.Management Tools: Proficiency with asset management and automation tools (Netbox, ServiceNow, Terraform, or OpenTofu).Lifecycle Mgmt & Capacity Planning: Experience in Data Center lifecycle mgmt, DC HW capacity planning, decommissioning, defragmentation, building complex financial showback models for shared infrastructure.AI/ML Ops: Proven expertise in Kubernetes (NKP preferred) and NVIDIA AI Enterprise stacks (GPU Operator, DCGM, Triton, vLLM).

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