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Director, HPC & Sovereign AI Centers of Excellence

July 21, 2026

Director, Hpc & Sovereign Ai Centers Of Excellence – Emea

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.

Location: Remote based with frequent visits to customer sites.

The Role:

AMD is seeking an experienced leader to direct our EMEA HPC and Sovereign AI Centers of Excellence organization. This leader will be responsible for a team of computational scientists, AI specialists, and performance engineers supporting the deployment, adoption, and optimization of AMD technologies within leading HPC and Sovereign AI environments across the region.

As Director, you will provide technical and organizational leadership for customer-facing engineering activities, working closely with customers, partners, and AMD teams to ensure successful delivery of strategic HPC and AI programs. You will lead a growing team of highly skilled technical experts while helping customers maximize the value of AMD platforms through application enablement, performance optimization, and technical collaboration.

Key Responsibilities:

Lead, mentor, and develop AMD's EMEA HPC and Sovereign AI Centers of Excellence team.
Manage a geographically distributed organization of computational scientists, AI specialists, and performance engineers.
Serve as the senior AMD technical leader for HPC and Sovereign AI customer engagements across the region.
Establish trusted relationships with customer executives, technical leadership teams, and key stakeholders.
Provide oversight for customer programs, ensuring successful execution of technical objectives and customer commitments.
Guide application enablement, performance optimization, benchmarking, and deployment activities on AMD platforms.
Partner with AMD hardware, software, product, and engineering teams to improve customer outcomes and accelerate adoption of AMD technologies.
Support technical content development for proposals, system procurements, and strategic customer initiatives.
Help shape future software enablement and application readiness efforts through close collaboration with customers and AMD development teams.
Represent AMD at customer meetings, technical workshops, and industry conferences.

Preferred Experience:

Proven experience in HPC, AI/ML, scientific computing, and large-scale computing systems, including the deployment, optimization, and adoption of HPC and AI solutions across research, academic, government, or enterprise environment
Demonstrated success leading customer-facing engineering, performance engineering, or technical enablement organizations, including managing and developing geographically distributed teams of highly skilled technical professionals across multiple countries and cultures.
Exceptional communication, presentation, and influencing skills, with the ability to engage credibly with computational scientists, technical leaders, customer executives, and industry stakeholders.
Experience defining and executing organizational strategy, driving operational excellence, and aligning technical teams with business objectives.
Experience supporting AI infrastructure, model training, inference workloads, or AI platform deployment within enterprise, research, or sovereign computing environments.
Proven ability to build trusted relationships with senior customer stakeholders and represent an organization in executive-level technical and business discussions.
Familiarity with large-scale system procurements and proposal development is a plus.

Academic Credentials:

PhD, Master's degree, or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, Applied Mathematics, Computational Science, AI/ML, or a related technical discipline.

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

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The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

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Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

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This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...