GPU Performance Architect for AI & Graphics

Advanced Micro Devices; Santa Clara (CA); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Advanced Micro Devices (AMD) is seeking a GPU Performance Architect within the Radeon Technologies Group to drive architectural and performance initiatives for GPUs and AI workloads.

You will collaborate with world-class engineers to analyze bottlenecks, explore new compute paradigms, and implement simulation models for potential gains. Santa Clara-based hybrid role with strong C/C++ and graphics API expertise.

Qualifications

• Experience spanning architecture, performance analysis and AI/ML/graphics/compute algorithms.
• Experience in Kernel development of LLMs using PyTorch, Triton, CUDA, HIP etc.
• Excellent C/C++/Scripting (Python, etc.) experience
• Knowledge of Graphics/Compute APIs (DirectX/Vulkan/CUDA/HIP etc.)
• Knowledge of GPU architecture and Compilers
• Experience in GFX profiling tools is a plus (PIX,RenderDoc, AMD tools, etc.)

Responsibilities

• Work on workload/competitive analysis of contemporary and futuristic game/AI/ML applications
• Identify complex technical problems, break them down, summarize multiple possible solutions, and help the team make progress
• Work with architects to understand bottlenecks in graphics cores and SoCs
• Analyze existing and emerging graphics/compute paradigms and algorithms
• Implement and run simulation models - i.e., both RTL and high-level simulation to estimate potential gains
• Propose innovative solutions for PPA improvements
• Drive initiatives to improve RTG analysis tools
• Collaborate with engineers and managers on multiple sites.

Skills

Architecture

Performance analysis

AI/ML/graphics/compute algorithms

C/C++

Scripting (Python)

Graphics APIs

GPU architecture

GFX profiling tools

Education

Electrical Eng./CS degree

Tools

CUDA

HIP

PyTorch

Triton

Job description

Advanced Micro Devices (AMD) is seeking a GPU Performance Architect within the Radeon Technologies Group to drive architectural and performance initiatives for GPUs and AI workloads.

You will collaborate with world-class engineers to analyze bottlenecks, explore new compute paradigms, and implement simulation models for potential gains. Santa Clara-based hybrid role with strong C/C++ and graphics API expertise.