Network Solutions Architect, AI Factory Services

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Lenovo seeks a Network Solutions Architect to join the Hybrid Cloud Solutions and AI Offering Engineering team within SSG. This senior‑level role designs, deploys, and validates high‑performance network infrastructure for Lenovo's AI Factory and Giga Factory service offerings, covering both enterprise‑scale and rack‑scale GPU environments powered by NVIDIA Spectrum‑X Ethernet and Infini Band fabrics. The architect produces network reference architectures, deployment runbooks, and field‑ready engineering documentation consumed directly by Lenovo Professional Services and Managed Services teams globally.

This includes GPU cluster fabric design, Blue Field DPU offload architectures, multi‑tenant network isolation, and performance‑validated RDMA and RoCEv2 configurations for AI and HPC workloads. The ideal candidate brings expert‑level depth in NVIDIA Spectrum‑X, Quantum Infini Band, and Blue Field DPU architectures, with proven experience designing networks for large‑scale GPU clusters, high‑density liquid‑cooled environments, and multi‑tenant AI Factory deployments. This role is based in Morrisville, NC, and includes some customer‑facing responsibilities.

• Design GPU cluster network architectures for NVIDIA AI Factory environments:
  Spectrum‑X Ethernet (Spectrum‑4 SN5600 + Blue Field‑3 DPUs) for enterprise deployments and Q3400 XDR Infini Band + Spectrum 5600 Ethernet for rack‑scale Giga Factory deployments.
• Develop and validate RDMA/RoCEv2 configuration guides and deployment runbooks for AI and HPC workloads on NVIDIA GPU clusters.
• Architect multi‑tenant network designs for Neo Cloud and enterprise AI Factory customers, including namespace isolation, east‑west traffic segmentation, and site resiliency aligned to NVIDIA Cloud Partner Reference Architecture.
• Design Blue Field‑3 DPU deployment architectures using DOCA for network function offload, security services, and service mesh in multi‑tenant GPU environments.
• Define rail‑optimized Infini Band topologies and Spectrum‑X Adaptive Routing, SHARP in‑network computing, and congestion control configurations for AI training and inference workloads.
• Develop network architectures for high‑density, liquid‑cooled rack‑scale GPU deployments, incorporating power‑aware design patterns for performance optimization.
• Create operational runbooks for network provisioning, troubleshooting, and performance validation, consumed directly by PS and MS field teams.
• Publish network performance benchmarks, including RDMA throughput and RoCEv2 latency baselines, to support field delivery quality and pre‑sales sizing.
• Collaborate with ISG product and engineering teams to validate fabric designs against NVIDIA Enterprise Reference Architectures and hardware roadmaps.
• Stay current with emerging NVIDIA networking technologies and contribute to Lenovo's AI infrastructure innovation roadmap.

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
• 5+ years of experience designing and deploying high‑performance network…