Overview:
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.
Responsibilities:
Kernel Performance Architect
WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, we build the compute engines that power AI, high-performance computing, and next-generation data centers. Our GPU platforms drive breakthroughs across machine learning, scientific computing, and large-scale distributed systems.
We are looking for a Kernel Performance Architect who can bridge hardware, compiler, runtime, and application layers to define and drive end-to-end performance strategy for AI workloads on AMD GPUs.
This role is not just about writing fast kernels — it is about understanding why they are fast, predicting performance behavior across architectures, and shaping the abstractions that make performance portable.
The Kernel Performance Architect is responsible for defining, analyzing, and optimizing performance across the full stack — from GPU microarchitecture and compiler behavior to runtime systems and deep learning frameworks.
This is a high-impact technical leadership role requiring strong performance intuition and systems-level thinking.
Understands how register pressure, occupancy, memory hierarchy, scheduling, and compiler decisions interact
You combine deep low-level knowledge with broad systems perspective.
Cross-Stack Performance Analysis
Identify root causes of bottlenecks (memory bandwidth, latency hiding, scheduling limits, interconnect constraints)
Kernel Architecture & Optimization Strategy
Compiler & Runtime Collaboration
Performance Methodology & Benchmarking
Abstraction & Portability
Experience optimizing AI workloads (e.g., attention, MoE, GEMM, convolution)
Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field.
Qualifications:
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
