Product Engineer AI GPU

Lenovo

Monterrey

Presencial

MXN 360.000 - 520.000

Jornada completa

14 días+

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Descripción de la vacante

Lenovo Infrastructure Solutions Group is seeking an AI/GPU Product Engineer to join the Server Product Engineering team in Monterrey. This role provides Level 3 engineering support for complex GPU and AI server issues, coordinating across global teams to reproduce, diagnose, and resolve incidents.

You will work closely with Product Engineering, Support, and Development to analyze logs, identify root causes, and deliver robust workarounds and permanent fixes.

Formación

  • Hands-on experience with GPUs in server/data center/HPC environments.
  • Strong knowledge of server hardware, firmware, and OS integration.
  • Experience troubleshooting GPU drivers and diagnostics.
  • Familiarity with NVIDIA CUDA and NVLink technologies.
  • Proficient in English for global collaboration.

Responsabilidades

  • Provide Level 3 engineering support for AI/GPU server escalations.
  • Serve as escalation point for Level 1/2 support.
  • Troubleshoot GPU issues across hardware, firmware, drivers, and OS.
  • Analyze logs and reproduce issues for root cause investigation.
  • Collaborate with worldwide Product Engineering teams.

Conocimientos

GPU expertise
x86 server architecture
GPU troubleshooting
NVIDIA CUDA
Linux administration
Virtualization
English communication
problem solving

Herramientas

NVIDIA drivers
GPU diagnostics tools
VMware ESXi
Hyper-V

Descripción del empleo

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 looking for an AI/GPU Product Engineer to join the Server Product Engineering team. This position provides Level 3 engineering support for complex technical issues and customer escalations involving GPU and AI server solutions.

The engineer will serve as a technical escalation point for issues that cannot be resolved by Level 1 and Level 2 support teams. The role requires hands‑on troubleshooting across GPU hardware, drivers, firmware, operating systems, server architecture, and AI infrastructure components.

The AI/GPU Product Engineer will work closely with worldwide Product Engineering, Support, Development, and other technical teams to reproduce issues, analyze logs and system data, identify root causes, develop workarounds, and drive permanent technical resolutions.

Key Responsibilities
  • Provide Level 3 engineering support for complex and critical AI/GPU server customer escalations.
  • Serve as a technical escalation point for Level 1 and Level 2 support organizations.
  • Troubleshoot GPU-related issues across hardware, firmware, drivers, operating systems, and server platforms.
  • Perform advanced problem determination and root cause analysis using system logs, GPU diagnostics, firmware data, operating system information, and other engineering tools.
  • Reproduce customer issues in lab environments when required to support root cause analysis.
  • Work directly with worldwide Development and Engineering teams when issues require code, firmware, driver, or product-level investigation.
  • Identify technical defects and provide Development teams with the technical evidence required to reproduce and resolve them.
  • Develop and validate technical workarounds and recovery procedures for customer issues.
  • Track technical escalations and provide clear status, findings, risks, and next steps to stakeholders.
  • Document technical solutions, known issues, troubleshooting procedures, and lessons learned to improve supportability and enable Level 1/2 teams.
  • Collaborate with Product Engineering teams across different geographies to ensure timely resolution of customer-impacting issues.
  • Develop and share AI/GPU technical knowledge with other engineers and support organizations.
Required Skills and Qualifications
  • 1+ year of hands‑on experience with GPUs, preferably in server, data center, AI, HPC, or enterprise environments.
  • Strong understanding of x86 server architecture, server hardware, and firmware.
  • Hands‑on experience with GPU drivers and GPU troubleshooting.
  • Knowledge of NVIDIA GPU technologies such as CUDA Toolkit, NVLink, and GPU diagnostic tools.
  • Working knowledge of enterprise operating systems, including Red Hat Enterprise Linux, SUSE Linux Enterprise Server, and Windows Server.
  • Basic knowledge of virtualization technologies such as VMware ESXi and Microsoft Hyper‑V.
  • Experience troubleshooting issues across hardware, firmware, operating systems, drivers, and applications.
  • Ability to analyze logs, reproduce technical issues, isolate failures, and identify potential root causes.
  • Ability to work effectively with Development and Engineering teams on complex technical problems.
  • Strong analytical and problem‑solving skills.
  • Strong written and verbal communication skills in English and ability to work in a global engineering environment.
Preferred Qualifications
  • Experience with NVIDIA data center GPUs and AI server platforms.
  • Experience with GPU technologies such as CUDA, NVLink, NVQual, and NVIDIA drivers.
  • Knowledge of AI/ML and HPC workloads.
  • Experience with server BMC, UEFI/BIOS, firmware, PCIe, system logs, and hardware diagnostics.
  • Previous experience in Level 3 technical support, Product Engineering, sustaining engineering, or customer escalation engineering.
  • Experience performing root cause analysis on complex server hardware/software issues.

We believe in treating each other with respect and dignity. We judge all applicants and employees by their qualifications, demonstrated skills and achievements without regard to race, color, religion, gender, gender identity or expression, national origin, ethnicity, sexual orientation, sex, age, disability, veteran status, marital status or any other characteristic protected by local law. When necessary, Lenovo will provide reasonable accommodations for employees with disabilities or those with special religious requirements. All employees help to create a positive work environment by adhering to these standards.

If you require an accommodation to complete this application, please contact ability@lenovo.com

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