United States
Jitterbit
Lenovo
GPU Platform SME
United States
Morrisville, North Carolina, United States
Python
WHY WORK AT LENOVO
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
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 lenovo.com, and read about the latest news via our StoryHub.
DESCRIPTION AND REQUIREMENTS
Position Overview
Lenovo Infrastructure Solutions Group (ISG) is seeking a highly motivated GPU Systems Validation Engineer to help develop and validate next-generation AI and accelerated computing platforms.
In this role, you will work at the forefront of AI infrastructure, validating cutting-edge GPU technologies across server, rack, and cluster environments. You will partner with GPU architects, hardware and firmware engineering teams, and industry-leading technology suppliers to ensure platform readiness, performance, reliability, and scalability for enterprise and hyperscale AI deployments.
This is an excellent opportunity for engineers with hands-on experience validating NVIDIA HGX/DGX platforms, high-performance servers, AI infrastructure, GPU clusters, InfiniBand fabrics, rack-scale systems, and large-scale data center deployments who enjoy solving complex technical problems and driving issues through root cause and resolution.
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).
Job Responsibilities
GPU Platform Architecture & Validation Strategy *
- Study next-generation GPU platform architectures, reference designs, and supplier documentation to understand platform capabilities, design changes, and validation requirements. *
- 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 and validation coverage plans. *
- Work closely with GPU architects and engineering stakeholders to translate platform requirements into executable validation strategies.
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 and test environment setup activities across server, rack, and cluster environments.
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.
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. *
- Develop and execute validation plans covering hardware, firmware, operating systems, networking, storage, management controllers, device drivers, and GPU subsystems. *
- Validate AI infrastructure technologies including GPU interconnects, high-speed networking fabrics, rack integration, power delivery systems, cooling solutions, and cluster deployments.
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. *
- Investigate complex hardware, firmware, software, and infrastructure issues using log analysis, diagnostics, system telemetry, and structured debugging techniques. *
- 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.
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. *
- Support technical reviews, milestone readiness assessments, and product release activities.
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, 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 *
- 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. *
- 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.
GENERAL INFORMATION
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
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
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