* United States of America - North Carolina - Morrisville

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Description and Requirements
Job Summary

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.

The ideal candidate brings deep expertise in NVIDIA Spectrum-X, Quantum InfiniBand, and BlueField 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 Responsibilities

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.

RDMA throughput

Storage and network throughput

End‑to‑end infrastructure readiness

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.

Troubleshooting & Operational Engineering

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.

Design BlueField‑3 DPU solutions utilizing DOCA for infrastructure offload, security services, observability, and service mesh capabilities.

Customer & Cross‑Functional Engagement

Collaborate 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 Qualifications

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 distributed compute workloads.

Experience with customer‑facing technical consulting, architecture reviews, or deployment leadership.

Preferred Qualifications

NVIDIA AI Infrastructure Expertise

Expert‑level knowledge of:

NVIDIA Spectrum‑X

Spectrum‑4 SN5600 Ethernet

Quantum InfiniBand (HDR/NDR/XDR)

BlueField DPUs

DOCA SDK

RDMA and RoCEv2

AI Fabric & GPU Cluster Experience

Experience supporting large‑scale GPU cluster deployments and production AI environments.

Deep understanding of:

GPUDirect

NCCL

GPU cluster validation and performance tuning

Adaptive Routing

SHARP

Congestion control

Rail‑optimized InfiniBand architectures

Networking & Infrastructure

Strong experience with:

BGP

EVPN

VXLAN

MPLS

OSPF

IS‑IS

Experience designing lossless Ethernet environments utilizing:

PFC

ECN

DCQCN

QoS

Knowledge of high‑performance storage networking and end‑to‑end infrastructure optimization.

Automation & Observability

Experience with:

Python

Ansible

Terraform

REST APIs

Experience implementing infrastructure observability, telemetry, monitoring, and troubleshooting solutions for large‑scale networks.

Familiarity with data center operations, performance analytics, and capacity planning.

Certifications

Preferred certifications include:

NVIDIA Certified Networking Professional

NVIDIA InfiniBand Specialist

OCI Networking Specialist

AWS Solutions Architect Associate

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.

Additional Locations : * United States of America - North Carolina - Morrisville

If you require an accommodation to complete this application, please contact [email protected]

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