AI Data Center Architect
Listed on 2026-10-17
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IT/Tech
AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, Systems Engineer, IT Infrastructure
Skills: AI Factory, GPUaaS, NVIDIA Reference Architecture, DGX, HGX, Blackwell, GB200, Spectrum-X, Infini Band, AI Infrastructure, Accelerated Computing, LLM Infrastructure, GenAI Platform, AI Cloud, GPU Cloud, AI Data Center Architect
Looking for a hands-on AI Data Center with 4+ years of experience designing AI-focused infrastructure. This is not a traditional enterprise data center role. We need someone who has architected GPU clusters, AI factories, and GPU-as-a-Service platforms leveraging modern NVIDIA AI infrastructure.
Must-Have SkillsAI Factory & GPU Infrastructure
Architected enterprise or hyperscale AI Factories
Designed GPU-as-a-Service (GPUaaS) platforms
Experience supporting large-scale AI training and inference environments
Strong understanding of LLM infrastructure and GenAI workloads
Deep knowledge of NVIDIA Enterprise Reference Architectures
Experience with DGX, HGX, GB200, H200, Blackwell platforms
Spectrum-X, Infini Band, NVLink, Blue Field DPUs
GPU cluster sizing, performance optimization, and scaling
Kubernetes for AI workloads
GPU scheduling and multi-tenancy
Distributed training infrastructure
Networking & Storage
AI networking (Infini Band, RoCE, 400G/800G fabrics)
High-performance AI storage architectures
Design for low-latency, high-throughput GPU clusters
Preferred ExperienceDesigned environments supporting 100+ GPUs
Experience with on-prem AI Factories, Sovereign AI, or GPU Cloud offerings
Worked with Azure/AWS/GCP AI infrastructure
Customer-facing architecture and solutioning experience
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