Network Solutions Architect, AI Factory Services

Job Description 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 GigaFactory service offerings, covering both enterprise-scale and rack-scale GPU environments powered by NVIDIA Spectrum-X Ethernet and InfiniBand 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, BlueField 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 InfiniBand, and BlueField 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. In this role, you will: Design GPU cluster network architectures for NVIDIA AI Factory environments: Spectrum‑X Ethernet (Spectrum‑4 SN5600 + BlueField‑3 DPUs) for enterprise deployments and Q3400 XDR InfiniBand + Spectrum 5600 Ethernet for rack‑scale GigaFactory 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 NeoCloud and enterprise AI Factory customers, including namespace isolation, east‑west traffic segmentation, and site resiliency aligned to NVIDIA Cloud Partner Reference Architecture. Design BlueField‑3 DPU deployment architectures using DOCA for network function offload, security services, and service mesh in multi‑tenant GPU environments. Define rail‑optimized InfiniBand 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. Basic Qualifications Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field. 5+ years of experience designing and deploying high-performance network infrastructure for AI, HPC, or large‑scale GPU cluster environments. Preferred Qualifications Expert-level technical depth in NVIDIA networking: Spectrum‑X platform (Spectrum‑4 SN5600 Ethernet), Quantum InfiniBand (XDR/HDR/NDR), BlueField DPUs, DOCA SDK, and RoCE/RDMA. Deep knowledge of AI fabric design: rail‑optimized InfiniBand topologies, Adaptive Routing, SHARP in‑network computing, and congestion control for GPU‑to‑GPU workload optimization. Proficiency in multi‑tenant network design: namespace isolation, east‑west traffic segmentation, NeoCloud or MSP‑scale network architecture. Strong understanding of routing, switching, and overlay protocols: BGP, OSPF, EVPN, VXLAN, MPLS, IS‑IS. Demonstrated ability to produce field‑ready architecture documentation, deployment runbooks, and technical content consumed by PS and MS delivery teams. Cross‑functional collaboration skills across product engineering, ISG, and service delivery organizations. NVIDIA Certified Networking Professional or InfiniBand Specialist certification. Cisco CCIE/CCNP Data Center or Enterprise Infrastructure certification. Experience with NVIDIA Base Command Manager for cluster network management and monitoring integration. Familiarity with Omniverse DSX Boost for power‑aware network design in high‑density GPU environments. Experience with network automation and Infrastructure-as-Code tools: Terraform, Ansible, Python, REST APIs. Knowledge of multi‑tenant NeoCloud or managed service provider network design patterns. Understanding of compliance and security frameworks: SOC2, FedRAMP, TIC 3.0, and secure network segmentation. Familiarity with DevOps and observability platforms for network health, telemetry, and capacity planning. Hybrid 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. #J-18808-Ljbffr Lenovo