Gpu Platform Sme (Ai Infrastructure Validation)
Lenovo Group
* United States of America - North Carolina - Morrisville
Why Work at LenovoWe 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 StoryHub .
Description and RequirementsPosition 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
Evaluate next-generation GPU and AI infrastructure platforms to understand architecture changes, validation requirements, risks, and deployment considerations.
Partner with architects, engineering teams, and suppliers to develop validation strategies and qualification plans.
Serve as a technical SME for emerging GPU technologies and share knowledge across the broader engineering organization.
Validation Execution & Ownership
Lead validation activities across node (L10), rack (L11), and cluster (L12) environments.
Execute system integration, functional, stress, performance, reliability, and scalability testing for AI server platforms.
Own validation programs from planning through execution, milestone completion, and validation closure .
Failure Analysis & Debug
Drive technical issues from identification through triage, root cause analysis, corrective actions, and resolution.
Investigate hardware, firmware, software, networking, storage, and infrastructure issues using structured debugging methodologies.
Coordinate issue resolution across BIOS, BMC, hardware, firmware, networking, and software teams .
Cross-Functional Collaboration
Work closely with global engineering teams, suppliers, ODM/OEM partners, and technology stakeholders.
Support technical reviews, validation readiness assessments, and product release activities.
Collaborate across North America and Asia to drive timely issue resolution and product quality.
Basic Qualifications
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline.
6+ years of experience in server platform development, system validation, hardware validation, system integration, AI infrastructure, or related engineering fields.
Strong knowledge of enterprise server architecture, including CPU, memory, storage, networking, BIOS/BMC, PCIe, operating systems, and firmware.
Hands-on experience with system integration testing, platform validation, stress/performance testing, failure analysis, root cause investigation, and debugging.
Proven ability to independently drive complex technical issues and collaborate effectively across global cross-functional engineering teams.
Working knowledge of Linux systems, command-line diagnostics, log analysis, and server troubleshooting .
Preferred Qualifications
Experience with NVIDIA-based AI infrastructure platforms, including HGX, DGX, GB200, GB300, NVL72, or similar GPU server architectures.
Knowledge of NVLink, NVSwitch, InfiniBand, high-speed Ethernet fabrics, GPU clusters, and large-scale AI environments.
Experience with NVIDIA diagnostic and validation tools such as NVDiag, DCGM, NVQual, or equivalent tools.
Experience supporting hyperscale, cloud, OEM/ODM, AI infrastructure, or enterprise server validation environments.
Experience evaluating next-generation technologies and serving as a technical lead or SME for platform validation initiatives.
Bilingual English and Mandarin language capability is highly preferred.
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
Evaluate next-generation GPU and AI infrastructure platforms to understand architecture changes, validation requirements, risks, and deployment considerations.
Partner with architects, engineering teams, and suppliers to develop validation strategies and qualification plans.
Serve as a technical SME for emerging GPU technologies and share knowledge across the broader engineering organization.
Validation Execution & Ownership
Lead validation activities across node (L10), rack (L11), and cluster (L12) environments.
Execute system integration, functional, stress, performance, reliability, and scalability testing for AI server platforms.
Own validation programs from planning through execution, milestone completion, and validation closure .
Failure Analysis & Debug
Drive technical issues from identification through triage, root cause analysis, corrective actions, and resolution.
Investigate hardware, firmware, software, networking, storage, and infrastructure issues using structured debugging methodologies.
Coordinate issue resolution across BIOS, BMC, hardware, firmware, networking, and software teams .
Cross-Functional Collaboration
Work closely with global engineering teams, suppliers, ODM/OEM partners, and technology stakeholders.
Support technical reviews, validation readiness assessments, and product release activities.
Collaborate across North America and Asia to drive timely issue resolution and product quality.
Basic Qualifications
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline.
6+ years of experience in server platform development, system validation, hardware validation, system integration, AI infrastructure, or related engineering fields.
Strong knowledge of enterprise server architecture, including CPU, memory, storage, networking, BIOS/BMC, PCIe, operating systems, and firmware.
Hands-on experience with system integration testing, platform validation, stress/performance testing, failure analysis, root cause investigation, and debugging.
Proven ability to independently drive complex technical issues and collaborate effectively across global cross-functional engineering teams.
Working knowledge of Linux systems, command-line diagnostics, log analysis, and server troubleshooting .
Preferred Qualifications
Experience with NVIDIA-based AI infrastructure platforms, including HGX, DGX, GB200, GB300, NVL72, or similar GPU server architectures.
Knowledge of NVLink, NVSwitch, InfiniBand, high-speed Ethernet fabrics, GPU clusters, and large-scale AI environments.
Experience with NVIDIA diagnostic and validation tools such as NVDiag, DCGM, NVQual, or equivalent tools.
Experience supporting hyperscale, cloud, OEM/ODM, AI infrastructure, or enterprise server validation environments.
Experience evaluating next-generation technologies and serving as a technical lead or SME for platform validation initiatives.
Bilingual English and Mandarin language capability is highly preferred.
This position is based in Morrisville, NC and requires full-time onsite presence and collaboration with local and global engineering teams.
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
If you require an accommodation to complete this application, please contact View email address on ca.hrm.tc
#J-18808-Ljbffr
Why Work at LenovoWe 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 StoryHub .
Description and RequirementsPosition 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
Evaluate next-generation GPU and AI infrastructure platforms to understand architecture changes, validation requirements, risks, and deployment considerations.
Partner with architects, engineering teams, and suppliers to develop validation strategies and qualification plans.
Serve as a technical SME for emerging GPU technologies and share knowledge across the broader engineering organization.
Validation Execution & Ownership
Lead validation activities across node (L10), rack (L11), and cluster (L12) environments.
Execute system integration, functional, stress, performance, reliability, and scalability testing for AI server platforms.
Own validation programs from planning through execution, milestone completion, and validation closure .
Failure Analysis & Debug
Drive technical issues from identification through triage, root cause analysis, corrective actions, and resolution.
Investigate hardware, firmware, software, networking, storage, and infrastructure issues using structured debugging methodologies.
Coordinate issue resolution across BIOS, BMC, hardware, firmware, networking, and software teams .
Cross-Functional Collaboration
Work closely with global engineering teams, suppliers, ODM/OEM partners, and technology stakeholders.
Support technical reviews, validation readiness assessments, and product release activities.
Collaborate across North America and Asia to drive timely issue resolution and product quality.
Basic Qualifications
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline.
6+ years of experience in server platform development, system validation, hardware validation, system integration, AI infrastructure, or related engineering fields.
Strong knowledge of enterprise server architecture, including CPU, memory, storage, networking, BIOS/BMC, PCIe, operating systems, and firmware.
Hands-on experience with system integration testing, platform validation, stress/performance testing, failure analysis, root cause investigation, and debugging.
Proven ability to independently drive complex technical issues and collaborate effectively across global cross-functional engineering teams.
Working knowledge of Linux systems, command-line diagnostics, log analysis, and server troubleshooting .
Preferred Qualifications
Experience with NVIDIA-based AI infrastructure platforms, including HGX, DGX, GB200, GB300, NVL72, or similar GPU server architectures.
Knowledge of NVLink, NVSwitch, InfiniBand, high-speed Ethernet fabrics, GPU clusters, and large-scale AI environments.
Experience with NVIDIA diagnostic and validation tools such as NVDiag, DCGM, NVQual, or equivalent tools.
Experience supporting hyperscale, cloud, OEM/ODM, AI infrastructure, or enterprise server validation environments.
Experience evaluating next-generation technologies and serving as a technical lead or SME for platform validation initiatives.
Bilingual English and Mandarin language capability is highly preferred.
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
Evaluate next-generation GPU and AI infrastructure platforms to understand architecture changes, validation requirements, risks, and deployment considerations.
Partner with architects, engineering teams, and suppliers to develop validation strategies and qualification plans.
Serve as a technical SME for emerging GPU technologies and share knowledge across the broader engineering organization.
Validation Execution & Ownership
Lead validation activities across node (L10), rack (L11), and cluster (L12) environments.
Execute system integration, functional, stress, performance, reliability, and scalability testing for AI server platforms.
Own validation programs from planning through execution, milestone completion, and validation closure .
Failure Analysis & Debug
Drive technical issues from identification through triage, root cause analysis, corrective actions, and resolution.
Investigate hardware, firmware, software, networking, storage, and infrastructure issues using structured debugging methodologies.
Coordinate issue resolution across BIOS, BMC, hardware, firmware, networking, and software teams .
Cross-Functional Collaboration
Work closely with global engineering teams, suppliers, ODM/OEM partners, and technology stakeholders.
Support technical reviews, validation readiness assessments, and product release activities.
Collaborate across North America and Asia to drive timely issue resolution and product quality.
Basic Qualifications
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline.
6+ years of experience in server platform development, system validation, hardware validation, system integration, AI infrastructure, or related engineering fields.
Strong knowledge of enterprise server architecture, including CPU, memory, storage, networking, BIOS/BMC, PCIe, operating systems, and firmware.
Hands-on experience with system integration testing, platform validation, stress/performance testing, failure analysis, root cause investigation, and debugging.
Proven ability to independently drive complex technical issues and collaborate effectively across global cross-functional engineering teams.
Working knowledge of Linux systems, command-line diagnostics, log analysis, and server troubleshooting .
Preferred Qualifications
Experience with NVIDIA-based AI infrastructure platforms, including HGX, DGX, GB200, GB300, NVL72, or similar GPU server architectures.
Knowledge of NVLink, NVSwitch, InfiniBand, high-speed Ethernet fabrics, GPU clusters, and large-scale AI environments.
Experience with NVIDIA diagnostic and validation tools such as NVDiag, DCGM, NVQual, or equivalent tools.
Experience supporting hyperscale, cloud, OEM/ODM, AI infrastructure, or enterprise server validation environments.
Experience evaluating next-generation technologies and serving as a technical lead or SME for platform validation initiatives.
Bilingual English and Mandarin language capability is highly preferred.
This position is based in Morrisville, NC and requires full-time onsite presence and collaboration with local and global engineering teams.
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
If you require an accommodation to complete this application, please contact View email address on ca.hrm.tc
#J-18808-Ljbffr
Vacancy posted 2 hours ago
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