AI Training Optimization Engineer
AMD · Shanghai, Shanghai, China
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: As part of AMD’s Training Optimization Team , you will help customers train AI models seamlessly and efficiently on AMD GPUs. You will identify and fill gaps in AMD’s training ecosystem, optimize critical kernels, and leverage frontier techniques to push the limits of training performance on large-scale systems. You will also contribute to the development of kernel agents —tools that accelerate kernel iteration and ultimately assist humans in achieving extreme GPU performance
THE PERSON: You are a strong GPU performance engineer with a solid understanding of algorithms, model architectures, and kernel implementations . You can move fluidly from mathematical concepts to low-level optimization, and you excel in diagnosing real training bottlenecks. You are comfortable working directly with customers and collaborating across internal teams
KEY RESPONSIBILITIES: Support Customers: Ensure smooth training on AMD GPUs by identifying bottlenecks and delivering kernel-level performance improvements. Optimize Hot Operators: Design and optimize kernels using HIP, CUDA, and Triton across real training workloads. Advance Kernel Agents: Improve agent-based tooling to speed up kernel development and help achieve peak performance
Strengthen AMD’s Trai
Apply for this role on AMD’s official careers site.