Cluster Solution Architect

Lenovo; Morrisville (NC); On-site; USD 150,000 - 190,000; Full time

Job summary

Lenovo is seeking a senior technical leader to own RFP responses for AI/HPC GPU cluster opportunities. You will design GPU-based solutions, coordinate pre-sales activities, and mentor engineers across teams to ensure feasible, high‑impact architectures.

You will stay ahead of AI infrastructure trends, collaborate with hardware, networking, and software teams, and contribute to compelling technical content for customers.

Qualifications

• BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or related field.
• 10+ years of experience in data center infrastructure, solution architecture, systems engineering, pre-sales engineering, or technical consulting.
• Familiarity with Python or other scripting language and infrastructure-as-code for design support.
• Familiarity with datacenter networking, high-speed interconnections, transceivers, and fiber form factors.
• Strong knowledge of high-performance networking for AI clusters (InfiniBand, RoCE, Day 0/1 protocols).
• Knowledge of liquid cooling, CDU, high-density rack design, and power/cooling constraints for AI data centers.
• Experience with large-scale AI training/inference workloads and capacity planning.

Responsibilities

• Lead technical ownership of customer RFPs/RFQs and responses for AI and HPC GPU cluster opportunities.
• Design AI cluster solutions based on NVIDIA and AMD GPU hardware platforms.
• Analyze requirements and develop complete cluster solutions including compute, networking, storage, power, cooling, and management software.
• Design and deliver technical presentations, POC or demos that articulate Lenovo's competitiveness in use cases.
• Mentor and lead junior RFP participants and sales engineers on solutions and architecture tradeoffs.
• Collaborate with internal teams to validate proposed solutions and ensure feasibility.
• Develop best practices, templates, reference architectures, and sizing guidelines for faster responses.
• Stay current on AI infrastructure trends, GPU roadmap, networking, liquid cooling, and software ecosystems.

Skills

Data center infrastructure

Solution architecture

Pre-sales engineering

Python scripting

Infrastructure as code

High-performance networking

GPU/AI hardware

Education

BS/MS in Computer Science/Engineering

MS/PhD preferred

Tools

Linux

Slurm

Kubernetes

Docker

NVIDIA NICo

NVIDIA Mission Control

ROCm

Job description

General Information

Req # WD00106205

Career area: Hardware Engineering

Country/Region: United States of America

State: North Carolina

City: Morrisville

Date: Friday, September 25, 2026

Working time: Full-time

Additional Locations:

• United States of America
• United States of America - North Carolina
• United States of America - North Carolina - Morrisville

Why Work at Lenovo

We 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 www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

Key Responsibilities

• Lead technical ownership of customer RFP, RFQ, and responses for AI and HPC GPU cluster opportunities. Design AI cluster solutions based on the latest NVIDIA and AMD GPU hardware platforms.
• Analyze customer requirements and develop complete cluster solutions including compute, networking, storage, power, cooling, rack/datacenter layout, and management software during the pre-sales and RFP process.
• Design and deliver compelling technical presentations, POC, or demos that clearly articulate Lenovo's competitiveness in customer use cases.
• Mentor and provide technical leadership to junior RFP participants and sales engineers on solutions, customer requirements, and common architecture tradeoffs.
• Work with internal engineering, deployment, hardware, networking, and supply chain teams to validate proposed solutions and ensure they are technically feasible.
• Develop best practices, reusable templates, reference architectures, sizing guidelines, and RFP response content to improve proposal quality and response speed.
• Stay current on AI infrastructure trends, including GPU roadmap changes, high-speed networking, liquid cooling, cluster management, and AI software ecosystems.

Required Qualifications

• BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or other related engineering fields. Individuals with other backgrounds will also be considered if sufficient knowledge demonstrated in the topics listed below.
• 10+ years of experience in data center infrastructure, solution architecture, systems engineering, pre-sales engineering, or technical consulting.
• Familiarity with Python or other scripting language and automation tools, and infrastructure-as-code for solution validation or design support.
• Familiarity with datacenter networking, high-speed optical interconnections, transceiver and fiber form factors, and their respective interoperability models.
• Strong knowledge of high-performance networking for AI clusters, such as InfiniBand, RoCE, networking operating systems, and common Day 0/Day 1 networking protocols (ZTP, DHCP, LLDP, SNMP, etc.)
• Knowledge of liquid cooling, CDU, high-density rack design, PDU, busway, and modern AI data center power/cooling constraints.
• Experience with large scale AI training and inference workloads, including LLM infrastructure pipeline and capacity planning.
• Willingness to travel up to 10% for customer meetings, technical workshops, partner engagements, and industry events.
• Willingness to continuously learn new GPU, networking, and data center technologies.

Preferred Qualifications

• MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or other related engineering fields
• 5+ years of experience preparing or contributing to RFP/RFQ responses, including technical compliance, solution documentation, BOM development, and customer-facing architecture content, ideally on NVIDIA HGX or DGX platforms.
• Working knowledge of cluster software and management environments such as Linux, Slurm, Kubernetes, Docker, NVIDIA Infrastructure Controller (NICo), NVIDIA Mission Control, ROCm, or related tools.
• Deep understanding of modern GPU server architectures, including NVIDIA and/or AMD accelerator-based systems.
• Familiarity with hyperscaler datacenter and operation environment. Proven experience in working with hyperscaler/NeoCloud/ other datacenter infrastructure or customers.
• Strong written communication skills for creating clear customer‑facing technical responses.

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