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San Jose, California
Source: AMD careers · View original posting
From AMD's posting. “We” and “our” refer to the employer.
ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.
We are seeking a Lead HPC & AI Infrastructure Architect to own the architecture and technical direction of large-scale CPU and GPU platforms across on-premises infrastructure, public cloud, and specialized GPU cloud providers. You will translate scientific computing, engineering, and AI requirements into secure, reliable, and cost-effective platforms for tightly coupled HPC workloads, distributed model training, and inference services.
This hands-on leadership role spans design, workload validation, deployment, and lifecycle management. You will guide infrastructure engineering and SRE teams and partner with researchers, AI engineers, cloud providers, and hardware vendors to deliver production-ready platforms.
THE PERSON
You combine deep systems expertise with practical architectural judgment. You take ownership of complex technical problems, validate decisions with measurable results, and communicate tradeoffs clearly. You collaborate across engineering, operations, security, and research teams; mentor engineers; and balance performance, reliability, security, delivery timelines, and cost. You can independently guide initiatives from requirements through production acceptance.
We are seeking a Lead HPC & AI Infrastructure Architect to own the architecture and technical direction of large-scale CPU and GPU platforms across on-premises infrastructure, public cloud, and specialized GPU cloud providers. You will translate scientific computing, engineering, and AI requirements into secure, reliable, and cost-effective platforms for tightly coupled HPC workloads, distributed model training, and inference services.
This hands-on leadership role spans design, workload validation, deployment, and lifecycle management. You will guide infrastructure engineering and SRE teams and partner with researchers, AI engineers, cloud providers, and hardware vendors to deliver production-ready platforms.
THE PERSON
You combine deep systems expertise with practical architectural judgment. You take ownership of complex technical problems, validate decisions with measurable results, and communicate tradeoffs clearly. You collaborate across engineering, operations, security, and research teams; mentor engineers; and balance performance, reliability, security, delivery timelines, and cost. You can independently guide initiatives from requirements through production acceptance.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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