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Senior Architect AI Infrastructure & Fabric

VST Consulting, IncPlano, TX🇺🇸United StatesPosted Oct 20, 2026

Why this role stands out

Shape the future of AI infrastructure by designing cutting-edge GPU-as-a-Service and AI Factory practices that will empower enterprise clients. If you're a seasoned architect with 6+ years of experience in HPC or AI infrastructure engineering, eager to tackle complex challenges in a hybrid environment, this is your opportunity to make a significant impact.

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationPlano, TX, United States
Posted3 days ago
Linux

Job description

Role Name : Senior Architect AI Infrastructure & Fabric
Location: Plano, TX (Hybrid - 2 Days Onsite / 3 Days Remote)
Employment Type: Full-Time
Compensation: Open / Best in the Industry
Interview Mode: Virtual
Practice: AI Infrastructure / GPU-as-a-Service (GPUaaS)
Job Summary
We are looking for a Senior Architect to lead the design of AI infrastructure, GPU clusters, high-performance networking fabrics, storage systems, and bare-metal environments. This role is responsible for developing scalable AI factory infrastructure supporting enterprise AI and HPC workloads.
Key Responsibilities
  • Design and deploy large-scale GPU cluster infrastructure.
  • Architect high-performance InfiniBand and Ethernet network fabrics.
  • Design AI-focused storage architectures using WEKA, Lustre, VAST, GPFS, and DDN.
  • Implement GPUDirect Storage, NVMe-over-Fabrics, and NFS-over-RDMA.
  • Lead bare-metal provisioning, firmware standardization, cluster validation, and benchmarking.
  • Create infrastructure BOMs and sizing recommendations.
  • Troubleshoot cluster, networking, storage, and GPU performance bottlenecks.
  • Establish infrastructure standards and review offshore team deliverables.
Required Qualifications
  • 6+ years of HPC, AI Infrastructure, or GPU Cluster Engineering experience.
  • Production experience supporting multi-node GPU environments.
  • Deep expertise with InfiniBand and high-performance Ethernet architectures.
  • Strong understanding of NVIDIA HGX, DGX, NVLink, and NVSwitch technologies.
  • Experience with scale-out storage and parallel file systems.
  • Advanced Linux systems administration skills.
  • Strong background in data center infrastructure design.
Required Skills
HPC, AI Infrastructure, GPU Clusters, NVIDIA DGX, HGX, NVLink, NVSwitch,
InfiniBand, Ethernet Fabric, UFM, SHARP, GPUDirect Storage, WEKA, Lustre,
GPFS, VAST, DDN, NVMe-oF, Linux, Bare Metal Provisioning,
Data Center Engineering, Storage Architecture, Cluster Deployment

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