[Hiring] Network Solutions Architect @Lenovo

Role Description

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 Professional 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
• 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.

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
  • HPC environments
  • GPU clusters
  • Hyperscale cloud environments
• 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

Requirements

• Expert-level knowledge of:
  • NVIDIA Spectrum-X
  • Spectrum-4 SN5600 Ethernet
  • Quantum InfiniBand (HDR/NDR/XDR)
  • BlueField DPUs
  • DOCA SDK
  • RDMA and RoCEv2
• Experience supporting large-scale GPU cluster deployments and production AI environments
• Deep understanding of:
  • GPUDirect
  • NCCL
  • AI workload communication patterns
  • GPU cluster validation and performance tuning
• Strong experience with:
  • BGP
  • EVPN
  • VXLAN
  • MPLS
  • OSPF
  • IS-IS
  • Leaf-Spine architectures
• Experience designing lossless Ethernet environments utilizing:
  • PFC
  • ECN
  • DCQCN
  • QoS
• Knowledge of high-performance storage networking and end-to-end infrastructure optimization
• 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

Benefits

• Remote-based within the Eastern Time Zone, with flexibility to support occasional onsite meetings, customer engagements, and team collaboration sessions
• Approximately 40-50% travel, including customer workshops, solution validation, deployment support, architecture reviews, and executive-level technical discussions

Company Description

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.