GPU Platform SME (AI Infrastructure Validation)

General Information

Req #

WD00108498

Career area:

Hardware Engineering

Country/Region:

United States of America

State:

North Carolina

City:

Morrisville

Date:

Monday, November 9, 2026

Working time:

Full-time

Additional Locations :

• 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

Position Overview

Lenovo Infrastructure Solutions Group (ISG) is seeking an experienced GPU Platform SME to help evaluate, develop, validate, and optimize 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.

Job Responsibilities

GPU Platform Architecture & Validation Strategy

• 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.

Validation Readiness & Infrastructure Planning

• Define and coordinate validation environment requirements, including lab infrastructure, test equipment, fixtures, software tools, utilities, licenses, and system configurations required for successful execution.
• Review Lenovo validation plans and test requirements across multiple engineering disciplines, including Platform Architecture, Electrical Engineering, Enterprise Architecture, Thermal Engineering, and Reliability Engineering.
• Partner with engineering teams to establish validation readiness plans for new platform introductions and technology transitions.
• Support validation framework deployment, test environment setup, and operational readiness activities across server, rack, and cluster environments.
• Identify infrastructure, tooling, and readiness gaps that could impact successful validation execution and product qualification.

System Bring-Up & Process Development

• Collaborate with GPU architects and engineering teams to develop system bring-up processes, work instructions, validation procedures, and standard operating procedures (SOPs).
• Establish test methodologies, execution processes, and validation best practices to ensure consistent and repeatable test results.
• Support platform integration activities and validation environment preparation throughout the product development lifecycle.
• Drive process improvements that enhance validation efficiency, coverage, and product quality.
• Document lessons learned, technical findings, and validation recommendations to improve organizational knowledge and future platform readiness.

Validation Execution & Test Ownership

• Lead validation activities for next-generation GPU-enabled server platforms at the node (L10), rack (L11), and cluster (L12) levels.
• Execute system integration, functional, stress, performance, scalability, and reliability testing for advanced AI and accelerated computing platforms.
• Support both new product introduction (NPI) validation activities and sustaining validation efforts for existing production platforms.
• Develop and execute validation plans covering hardware, firmware, operating systems, networking, storage, management controllers, device drivers, software applications, and GPU subsystems.
• Validate AI infrastructure technologies, including GPU interconnects, high-speed networking fabrics, rack integration, power delivery systems, cooling solutions, and cluster deployments.
• Serve as the validation owner for assigned programs, ensuring quality objectives, validation milestones, and execution schedules are successfully achieved.

Failure Analysis, Debug & Root Cause Investigation

• Own technical issues throughout the complete validation lifecycle, including issue discovery, triage, experiment design, failure reproduction, root cause analysis, corrective action identification, and validation closure.
• Perform preliminary failure analysis and issue triage to identify likely failure domains and engage the appropriate engineering owners for deeper investigations.
• Investigate complex hardware, firmware, software, networking, storage, and infrastructure issues using log analysis, diagnostics, system telemetry, and structured debugging methodologies.
• Perform technical experiments and data-driven analysis to isolate failures and determine root cause.
• Drive issue resolution with cross-functional engineering teams and ensure corrective actions are properly validated.
• Coordinate issue investigations across BIOS, BMC, firmware, hardware, networking, storage, and software teams to drive timely resolution and validation closure.
• Provide technical leadership during failure analysis reviews, validation risk assessments, and escalation activities.

Cross-Functional & Supplier Collaboration

• Collaborate closely with Platform Architecture, Electrical Engineering, Thermal Engineering, Reliability Engineering, Software Engineering, Manufacturing Engineering, and Product Development teams.
• Partner directly with GPU suppliers and engineering counterparts on product-specific issues, validation findings, failure analysis, corrective actions, and technical escalations.
• Work effectively with global engineering organizations, ODM/OEM partners, hyperscale customers, and technology suppliers to achieve validation and product quality objectives.
• Collaborate with engineering teams across North America and Asia, supporting validation execution, failure investigations, and technical issue resolution across multiple time zones.
• Support technical reviews, milestone readiness assessments, product release activities, and validation signoff processes.
• Drive technical discussions and provide validation expertise across global cross-functional teams.

Job Requirements

Required Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Computer and Information Science, or a related technical discipline.
• 6+ years of experience in server platform development, system validation, system integration, hardware validation, AI infrastructure, accelerated computing platforms, or related engineering disciplines.
• Strong knowledge of enterprise server architecture and system integration, including:

-

• BIOS/UEFI
• Baseboard Management Controllers (BMC)
• Operating systems
• CPU and memory subsystems
• Storage technologies
• Networking technologies
• PCIe devices
• Firmware
• Device drivers
• Software applications
• Strong understanding of GPU interconnect and high-speed networking technologies, including:

-

• PCIe
• Ethernet
• InfiniBand
• NVLink
• NVSwitch
• Related GPU fabric technologies
• Hands-on experience performing:

-

• System integration testing
• Functional validation
• Stress testing
• Performance testing
• Reliability testing
• Failure analysis
• Troubleshooting and root cause investigations
• Working knowledge of Linux administration, command-line diagnostics, log analysis, and server troubleshooting methodologies and tools.
• Demonstrated ability to independently drive complex technical issues from identification through root cause determination and resolution.
• Proven ability to serve as the validation owner for complex system issues, coordinating investigations across BIOS, BMC, firmware, networking, storage, software, and hardware teams to achieve timely resolution.
• Strong written and verbal communication skills with the ability to collaborate effectively across global cross-functional engineering teams.

Preferred Qualifications

• Hands-on experience with one or more advanced AI infrastructure platforms, including:

-

• NVIDIA HGX
• NVIDIA DGX
• GB200
• GB300
• NVL72
• Next-generation GPU architectures
• Experience with rack-scale AI systems, GPU clusters, and large-scale accelerated computing environments utilizing:

-

• NVLink
• NVSwitch
• InfiniBand fabrics
• High-speed Ethernet fabrics
• Experience supporting hyperscale, cloud, AI infrastructure, OEM, ODM, server development, manufacturing validation, or large-scale data center deployments.
• Familiarity with NVIDIA validation and diagnostic tools, including:

-

• DCGM
• NVDiag
• NVQual
• Experience with NVIDIA CUDA, AMD ROCm, or other GPU software ecosystems.
• Experience developing validation automation, diagnostic solutions, or validation frameworks using Python, Shell scripting, or similar programming languages.
• Familiarity with liquid cooling infrastructure, power distribution systems, rack integration technologies, and data center deployment considerations.
• Experience collaborating directly with GPU suppliers, hyperscale customers, ODM/OEM partners, or global engineering organizations.
• Mandarin language capability is highly preferred due to collaboration with global engineering teams and supplier partners.

**This position is based in Morrisville, NC and requires full-time onsite presence. Candidates are expected to work onsite and collaborate closely with local and global engineering teams.

Additional Locations :

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