GPU/AI Product Engineer Full-time

General Information

Req #

WD00077638

Career area:

Hardware Engineering

Country/Region:

United States of America

State:

North Carolina

City:

Morrisville

Date:

Friday, January 17, 2025

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$57 billion revenue global technology powerhouse, ranked #248 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

The GPU/AI Product Engineer provides engineering support to the field, interfacing with Level 1 / 2 /3 to resolve the more complex and/or urgent customer escalations. This person will work directly with development, quality and/or manufacturing engineers to isolate and help perform root cause analysis of defect issues. Responsibilities will also include providing field communications such as Service Tips and fix releases, drives field action plans to address design and/or quality issues, manages the technical resolution plan for pervasive field issues, and drives lessons learned through a closed loop continuous improvement process. Product Engineering support begins just prior to product introduction by participating in the Ship Support sign-off and continues through the product life cycle until end-of-life.

Key Activities:

• Interface with customers, Level 1 /2 /3 technical support, and internal Sales teams to drive technical resolution plans for escalated field issues, with key focus on delivering a positive customer experience.
• Perform problem determination and defect root cause isolation by analyzing hardware diagnostic & OS logs.
• Derive technical action plans with urgency to restore production for outages or severe customer-impacting situations.
• Setup systems with customer configuration in the lab to replicate reported field failures.
• Instrument lab debug equipment (e.g. oscilloscope, analyzers) to isolate and debug complex failures.
• Develop field action plans to address design/quality issues which have affected customers including: Stop ships, field communications (Service Tips and Notable issues), Engineering Change (EC) generation, and rolling Field Replaceable Unit (FRU) stock when necessary
• Travel to provide on-site assistance to resolve critical situations (when required).
• Participate in pre-product release activities; take technical positions for defect deferrals and HW design changes and approve product readiness for ship support.
• Maintain key data for products assigned (specifications, publications, Tech Tips, defects, engineering changes and history, product roadmaps, and lifecycle management).
• Conduct lessons learned reviews in a quality closed loop process as part of driving continuous improvement of products and processes.

Basic Skills:

• Bachelor’s Degree in Technical Discipline: Engineering, Computer Science or related field
• 7+ years hands-on experience with Intel x86 or AMD servers
• 5+ years hands-on experience with GPU technology
• 12+ years of experience in a technical engineering role doing hardware problem determination and troubleshooting
• Experience with Linux based Operating Systems (Ubuntu, RedHat, SuSE)
• 7+ years of client-facing experience

Preferred Skills:

• Experience with Clustered solutions
• Strong analytical and problem solving skills
• Python programming skills
• Bash scripting experience
• Familiar with Datacenter GPU software stack such as AMD ROCm or Nvidia CUDA and GPU benchmarks such as Nvqual, mlperf, Tensorflow or NCCL
• Familiar with AI / Machine Learning workloads, frameworks, and models

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

* United States of America

* United States of America – North Carolina

* United States of America – North Carolina – Morrisville