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Computer Hardware

Sr. GPU Architect

Morrisville, NCOnsiteFull TimeSeniorPosted 1 month agoVisa sponsorship available

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Required skills

  • GPU architecture
  • server products
  • GPU implementation
  • electrical
  • thermal
  • mechanical design
  • schematics
  • PCB layouts
  • platform readiness
  • emerging GPU technologies

Nice to have

  • AI/HPC infrastructure
  • GPU roadmap planning
  • NVIDIA
  • AMD
  • Intel accelerator ecosystems
  • CUDA

Role summary

Lenovo is seeking a Senior GPU Architect to lead GPU architecture, strategy, and platform integration for next-generation server products. This role involves evaluating GPU implementation, considering electrical, thermal, and mechanical aspects, and reviewing designs for platform readiness. The architect will collaborate with cross-functional teams to define product concepts and influence design decisions. Responsibilities include leading a team of GPU engineers for product qualification, certification, and support, acting as a subject matter expert on GPU technologies, and developing design guidelines. The position also entails investigating and resolving complex GPU issues throughout the product lifecycle, ensuring products meet quality and reliability standards. Requires BS in EE, CE, CS with 10+ years in server/platform architecture and 5+ years in data center GPU architecture or accelerator integration.

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

The Senior GPU Architect will serve as the organization's technical leader for GPU architecture, strategy, and platform integration, helping define the direction of next-generation server products. This role is responsible for evaluating and guiding GPU implementation across the server portfolio, including electrical, thermal, and mechanical design considerations, while reviewing schematics and PCB layouts to ensure platform readiness for emerging GPU technologies. The engineer will work closely with system architects and cross-functional development teams to define product concepts, influence design decisions, and ensure optimal GPU integration into future server platforms.In addition, the Senior GPU Architect will lead a team of GPU engineers responsible for product qualification, certification, troubleshooting, and release support activities. The position acts as the groups center of competence on GPU technologies, providing deep expertise on GPU features, performance, industry trends, and best practices. The engineer will develop and document design guidelines that enable hardware and firmware teams to effectively implement new GPU capabilities while maintaining alignment with product requirements and industry standards.Throughout the product lifecycle, the Senior GPU Architect will investigate and resolve complex GPU-related issues, drive root-cause analysis, and collaborate with development, validation, manufacturing, and support teams to deliver high-quality solutions. The role also supports product introduction, qualification testing, field sustainment, and ongoing customer-facing issue resolution, ensuring that products meet regulatory requirements, quality objectives, and long-term reliability expectations.

Basic Qualifications:

  • BS in EE, CE, CS, or related field.
  • 10+ years in server/platform architecture development.
  • 5+ years of data center GPU architecture or accelerator integration experience.
  • Expertise in GPU-enabled server design, PCIe/CXL, power, thermal, and mechanical integration.
  • Experience leading architecture reviews, qualification, validation, and issue resolution.
  • Proven technical leadership and cross-functional collaboration skills.


Preferred Qualifications:

  • MS/PhD in EE, CE, CS, or related field.
  • 15+ years of server architecture experience.
  • AI/HPC infrastructure and GPU roadmap planning expertise.
  • Experience with NVIDIA, AMD, or Intel accelerator ecosystems.
  • Familiarity with CUDA, ROCm, Redfish/IPMI, and server management architectures.
  • Experience leading global engineering organizations and defining architecture standards.
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

General Information

Req # WD00102138 Career area: Hardware Engineering Country/Region: United States of America State: North Carolina City: Morrisville Date: Tuesday, July 21, 2026 Working time: Full-time Additional Locations: * United States of America - North Carolina - Morrisville

Sample Lenovo interview questions

  • 1

    Clone an Undirected Graph Clone an undirected graph. Input: adjList = [[]] Output: [[]] Explanation: Creates a new, deeply cloned graph containing only one single node with zero connected neighbors.

    codingmedium
  • 2

    Iterator over a Binary Search Tree Implement an iterator over a binary search tree. Input: root = [7,3,15,null,null,9,20], calls: next(), hasNext(), next() Output: 3, TRUE, 7 Explanation: The iterator yields the smallest value (3), confirms more nodes exist, then properly yields the next in-order value (7).

    codingmedium

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