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Sr. Fellow, ML Workload Performance

AMD · San Jose, California, 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 We are seeking an exceptional Senior Fellow in Engineering to serve as a technical leader for Machine Learning workload performance and optimization across frameworks and model architectures. This is a highly visible individual contributor (IC) role with broad technical scope and company-wide impact, operating at a level equivalent to Senior Director while focusing primarily on deep technical leadership rather than organizational management. As Senior Fellow of ML workload performance, you will define and drive the technical vision for performance optimization across multiple generations of AMD GPUs, spanning a wide range of models including state-of-the-art AI systems

You will lead through influence, setting direction for optimization strategies, guiding architectural decisions, and accelerating support for emerging models. You will work closely with customers, business units, and engineering teams to develop performance projections, conduct deep analysis, and deliver innovative solutions that meet partner needs. You will also play a key role in industry-standard benchmarks and external technical engagements

This role is ideal for a hands-on technical leader who is passionate about extracting maximum performance from hardware and shapin

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

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