Sr. Fellow, ML Workload Performance
AMD · San Jose, CA · Engineering
About this role
AMD is hiring a senior-level Sr. Fellow, ML Workload Performance based in San Jose, CA. The posting calls out experience with LLMs, Machine Learning, Performance Optimization, Full Stack.
- Level
- senior
- Location
- San Jose, CA
- Department
- Engineering
- Posted
- Jan 12, 2026
More roles at AMD
Job description
from AMD careersWHAT 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.