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Data Center GPU Performance Attainment Lead

AMD · Austin, Texas, United States

Full-time Posted 4 days ago

About this role

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture

We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career

THE ROLE: The successful candidate will assume responsibility for post-silicon activities related to performance characterization and optimization of AMD Datacenter products, spanning both single-node and multi-node deployments. THE PERSON: You have a passion for computer architecture, along with strong knowledge of HPC and ML workloads. You are a team player with excellent communication skills and experience collaborating with engineers across multiple sites and time zones

You are a quick learner, self-starter, and able to drive multiple complex tasks to completion. KEY RESPONSIBILITIES: Develop and maintain automation frameworks for workload execution and performance data collection , enabling scalable and repeatable characterization across configurations. Become a key stakeholder in the product power and performance definition process , ensuring alignment between architectural goals and measured silicon performance

Develop, execute, and evolve performance characterization and optimization test plans across diverse usage scenarios, including High Performance Computing (HPC) and Machine Learning (ML) workloads. Drive performance attainment for both scale-up (intra-node) and scale-out (multi-node) configurations , including: Multi-GPU scaling eff

Apply for this role on AMD’s official careers site.

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