Fellow, Customer Quality, Data Center & AI Platform

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.

At AMD, we push the boundaries of innovation to solve the world’s most important challenges. As a Fellow, Customer Quality, you will drive AI infrastructure quality for next-generation data center CPUs and GPUs powering hyperscale and enterprise deployments.

This is a high‑visibility role within the Customer Engineering organization, focused on ensuring quality outcomes across customer deployments. You will bridge the gap between internal silicon development and real‑world customer environments, translating large‑scale deployment signals into actionable insights that improve product and platform quality and reliability.

Working closely with customers, engineering and the corporate Quality organization, you will drive customer‑facing quality metrics, enable closed‑loop improvements, and ensure customer‑reported issues and system‑level behaviours are reflected in product and quality processes.

The ideal candidate is a strategic and technically deep leader with a strong customer‑first mindset and a passion for improving quality outcomes  are highly collaborative and effective at influencing across engineering, manufacturing and quality organizations.

You are comfortable operating in complex, fast‑paced environments and working directly with hyperscale and enterprise customers. You bring strong communication skills, the ability to translate technical insights into actionable improvements, and a track record of driving alignment across cross‑functional teams.

• Drive customer quality outcomes across AI and data centre infrastructure deployments, ensuring high reliability in production environments
• Translate fleet‑scale signals and customer issues into actionable improvements across product, validation and manufacturing
• Monitor and improve customer‑facing quality metrics across hyperscale and enterprise deployments
• Apply advanced reliability methodologies, including physics‑based modelling and statistical analysis, to improve quality outcomes
• Enable predictive approaches that support high‑confidence deployments at scale
• Partner with architecture, design, manufacturing, OSAT and the corporate Quality organization to align on quality priorities
• Influence cross‑functional decisions to improve product and platform quality outcomes
• Support product launch readiness by identifying test gaps and driving improvements in validation and qualification
• Provide feedback from customer deployments to improve manufacturing screening, defect detection and DPM performance
• Strengthen feedback loops between customer environments and internal engineering teams

• Several years of experience in semiconductor product quality, customer quality or silicon manufacturing quality
• Background in semiconductor product quality, customer quality or silicon manufacturing quality, including high‑volume silicon deployments in hyperscale or enterprise environments
• Deep understanding of data centre CPUs, GPUs or AI accelerator platforms, including server system architecture (compute, memory, I/O and RAS)
• Expertise in product reliability methodologies, manufacturing quality systems and product qualification processes
• Demonstrated ability to translate customer and system‑level failures into improvements in product design, test coverage and manufacturing screening
• Proven capability in defining test patterns and system‑level validation methodologies to detect time‑zero and reliability…