Job Description
Project description We are seeking an experienced Infrastructure Architect with deep expertise in designing and delivering end‑to‑end on‑premises AI and data‑center infrastructure. In this role, you will architect and guide implementations spanning GPU compute clusters, high‑performance storage, data‑center networking fabrics, and automation frameworks, ensuring the environment is secure, resilient, and optimized for AI/ML workloads.
This position requires both high‑level architectural vision and hands‑on design across compute, network, storage, and control‑plane platforms.
Responsibilities
End‑to‑End Infrastructure Architecture
Own and evolve the reference architecture for on‑prem AI compute ecosystems, including GPU servers, accelerators, and DPUs.
Design GPU clustering strategies and partitioning models (MIG, MPS) for multi‑tenant training and inference workloads.
Define rack‑to‑control‑plane architecture, aligning hardware, storage, network fabric, and Kubernet...
This position requires both high‑level architectural vision and hands‑on design across compute, network, storage, and control‑plane platforms.
Responsibilities
End‑to‑End Infrastructure Architecture
Own and evolve the reference architecture for on‑prem AI compute ecosystems, including GPU servers, accelerators, and DPUs.
Design GPU clustering strategies and partitioning models (MIG, MPS) for multi‑tenant training and inference workloads.
Define rack‑to‑control‑plane architecture, aligning hardware, storage, network fabric, and Kubernet...
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