We WOW our customers. Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit , and read about the latest news via our StoryHub . Lenovo seeks a highly experienced Network Solutions Architect to join the Hybrid Cloud Solutions and AI Offering Engineering team within SSG. This senior-level role designs, deploys, validates, and optimizes high-performance network infrastructure for Lenovo's AI Factory and GigaFactory service offerings, supporting both enterprise-scale and hyperscale GPU environments powered by NVIDIA Spectrum-X Ethernet and InfiniBand fabrics. The architect will develop network reference architectures, deployment runbooks, performance validation procedures, and field-ready engineering documentation consumed by Lenovo Qualified Services and Managed Services teams globally. This includes GPU cluster fabric design, BlueField DPU architectures, multi-tenant network isolation,



high-performance RDMA and RoCEv2 deployments, and production-scale AI infrastructure supporting large distributed training and inference workloads. Experience supporting hyperscale AI infrastructure, high‑density liquid‑cooled environments, GPU cluster bring‑up, infrastructure validation, performance tuning, and customer‑facing technical engagements is highly desired. AI Fabric Architecture & Design Design GPU cluster network architectures for NVIDIA AI Factory environments utilizing: Quantum XDR InfiniBand and Spectrum Ethernet for rack‑scale GigaFactory deployments Design and validate large‑scale AI fabrics supporting RDMA, RoCEv2, GPUDirect, NCCL collectives, and high‑bandwidth GPU‑to‑GPU communications. Develop rail‑optimized InfiniBand topologies and Spectrum‑X Adaptive Routing, SHARP, congestion management, and performance optimization strategies for AI training and inference environments. Contribute to architecture decisions supporting large‑scale distributed AI and HPC workloads. Deployment, Validation & Performance Engineering Lead network bring‑up, validation, and production‑readiness activities for GPU infrastructure. Develop and validate RDMA/RoCEv2 configuration guides and deployment runbooks for AI and HPC environments. Storage and network throughput Design failure‑domain isolation strategies and resilient network architectures for large‑scale AI deployments.



Support network architecture for high‑density liquid‑cooled GPU environments with power‑aware design considerations. Diagnose and resolve complex InfiniBand, Ethernet, RDMA, and GPU workload performance issues. Analyze congestion, telemetry, traffic patterns, link utilization, routing behavior, and fabric health to identify bottlenecks and optimize performance. Support root cause analysis and remediation of network, storage, and infrastructure issues impacting AI workload performance. Develop operational runbooks and troubleshooting procedures consumed directly by Lenovo field teams and customers. Design multi‑tenant networking architectures supporting AI Factory, NeoCloud, and managed‑service provider environments. Implement namespace isolation, east‑west traffic segmentation, secure tenant separation, and site resiliency aligned with NVIDIA Cloud Partner Reference Architectures. Customer & Cross‑Functional Engagement Work directly with customers, partners, and delivery teams to translate AI workload requirements into production‑ready infrastructure solutions. Provide technical leadership during customer engagements, infrastructure deployments, escalations, and architecture reviews. Support global deployments through approximately 40-50% travel , including customer workshops, implementation support, solution validation, and executive‑level technical discussions. Bachelor's or Master's degree in Computer Science, Electrical Engineering, Information Technology, or related discipline. ~5+ years of experience designing and deploying high‑performance networking solutions for: ~ AI infrastructure ~ Experience designing and validating large‑scale network fabrics supporting AI and distribute

📌 Network Solutions Architect, AI Factory Services (Newfoundland and Labrador)
🏢 Lenovo
📍 Newfoundland and Labrador