* United States of America - North Carolina - MorrisvilleWhy Work at LenovoWe are Lenovo. We do what we say. We own what we do. 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 Story Hub.Description and RequirementsJob SummaryLenovo 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 Giga Factory service offerings, supporting both enterprise-scale and hyperscale GPU environments powered by NVIDIA Spectrum-X Ethernet and Infini Band fabrics.The architect will develop network reference architectures, deployment runbooks, performance validation procedures, and field-ready engineering documentation consumed by Lenovo Skilled Services and Managed Services teams globally. This includes GPU cluster fabric design, Blue Field DPU architectures, multi-tenant network isolation, high-performance RDMA and Ro CEv2 deployments, and production-scale AI infrastructure supporting large distributed training and inference workloads.The ideal candidate brings deep expertise in NVIDIA Spectrum-X, Quantum Infini Band, and Blue Field DPU technologies, along with hands‑on experience architecting, deploying, validating, and troubleshooting large‑scale GPU clusters. 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.Key ResponsibilitiesAI Fabric Architecture & DesignDesign GPU cluster network architectures for NVIDIA AI Factory environments utilizing:Quantum XDR Infini Band and Spectrum Ethernet for rack‑scale Giga Factory deploymentsDesign and validate large‑scale AI fabrics supporting RDMA, Ro CEv2, GPUDirect, NCCL collectives, and high‑bandwidth GPU‑to‑GPU communications.Develop rail‑optimized Infini Band 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 EngineeringLead network bring‑up, validation, and production‑readiness activities for GPU infrastructure.Develop and validate RDMA/Ro CEv2 configuration guides and deployment runbooks for AI and HPC environments.RDMA throughputStorage and network throughputEnd‑to‑end infrastructure readinessDesign 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.Troubleshooting & Operational EngineeringDiagnose and resolve complex Infini Band, 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, Neo Cloud, 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.Design Blue Field‑3 DPU solutions utilizing DOCA for infrastructure offload, security services, observability, and service mesh capabilities.Customer & Cross‑Functional EngagementCollaborate with Lenovo engineering, product, ISG, and services organizations to validate designs against NVIDIA reference architectures and future hardware roadmaps.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.Basic QualificationsBachelor'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 infrastructureExperience designing and validating large‑scale network fabrics supporting AI and distributed compute workloads.Experience with customer‑facing technical consulting, architecture reviews, or deployment leadership.Preferred QualificationsNVIDIA AI Infrastructure ExpertiseExpert‑level knowledge of:NVIDIA Spectrum‑XSpectrum‑4 SN5600 EthernetQuantum Infini Band (HDR/NDR/XDR)Blue Field DPUsDOCA SDKRDMA and Ro CEv2AI Fabric & GPU Cluster ExperienceExperience supporting large‑scale GPU cluster deployments and production AI environments.Deep understanding of:GPUDirectNCCLGPU cluster validation and performance tuningAdaptive RoutingSHARPCongestion controlRail‑optimized Infini Band architecturesNetworking & InfrastructureStrong experience with:BGPEVPNVXLANMPLSOSPFIS‑ISExperience designing lossless Ethernet environments utilizing:PFCECNDCQCNQo SKnowledge of high‑performance storage networking and end‑to‑end infrastructure optimization.Automation & ObservabilityExperience with:PythonAnsibleTerraformREST APIsExperience implementing infrastructure observability, telemetry, monitoring, and troubleshooting solutions for large‑scale networks.Familiarity with data center operations, performance analytics, and capacity planning.CertificationsPreferred certifications include:NVIDIA Certified Networking ProfessionalNVIDIA Infini Band SpecialistOCI Networking SpecialistAWS Solutions Architect AssociateHybrid Schedule on campus in Morrisville, NC. 3 days in office, 2 days work from home.We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.Additional Locations : * United States of America - North Carolina - MorrisvilleIf you require an accommodation to complete this application, please contact ability@#J-18808-Ljbffr

📌 Network Solutions Architect, Ai Factory Services (Morrisville)
🏢 Lenovo
📍 Morrisville