GPU Platform SME

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 , and read about the latest news via our Story Hub.

Lenovo Infrastructure Solutions Group (ISG) is seeking an experienced GPU Platform SME to help evaluate, develop, validate, and optimise next‑generation GPU‑based AI infrastructure platforms.

In this role, you will work closely with GPU architects, platform engineering teams, and GPU suppliers to define and execute integrated validation strategies across node‑level (L10), rack‑level (L11), and cluster‑level (L12) environments. You will be responsible for studying emerging GPU platform architectures, ensuring validation readiness, executing complex validation activities, and driving technical issues from discovery through root cause analysis and resolution.

This role requires a strong foundation in enterprise server architecture, system integration, and validation engineering
, with experience owning validation activities across hardware, firmware, software, networking, and infrastructure domains. The successful candidate will serve as a technical leader for platform validation efforts, driving issue triage, debug investigations, cross‑functional collaboration, and validation closure for advanced AI and accelerated computing platforms.

The ideal candidate combines expertise in server platform architecture, system validation, failure analysis, AI infrastructure, GPU technologies, and high‑speed networking with the ability to evaluate new technologies, identify risks, and share technical knowledge across global engineering organizations.

• Study next‑generation GPU platform architectures, reference designs, and supplier documentation to understand platform capabilities, design changes, validation requirements, and deployment considerations.
• Perform comparative analysis between incoming and outgoing platform generations, identifying validation impacts, readiness gaps, risks, and infrastructure requirements.
• Review supplier validation requirements (such as NVIDIA Platform Validation Programs) and Lenovo validation strategies to determine execution prerequisites, validation coverage plans, and test readiness requirements.
• Work closely with GPU architects and engineering stakeholders to translate platform requirements into executable validation strategies.
• Assess and document requirements for validation coverage, infrastructure readiness, test environments, and platform qualification activities.
• Act as a technical SME for emerging GPU and AI infrastructure technologies by evaluating new architectures, identifying key design changes, documenting findings, and sharing technical knowledge across engineering teams.