GPU Performance Architect: AI/GPU Innovation Leader

AMD; Folsom (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

AMD's Radeon Technologies Group is seeking a GPU Performance Architect to push the limits of GPU design and analytics in Folsom, CA. You will analyze workloads, identify bottlenecks, and collaborate with architects and engineers across sites to drive PPA improvements and innovative graphics/compute solutions.

The role requires strong C/C++/Python skills, experience in graphics APIs, and a deep understanding of GPU architecture and performance analysis.

Qualifications

• Undergrad degree in Electrical Engineering, Computer Science or related field.
• Experience in architecture, performance analysis and AI/ML/graphics/compute algorithms.
• Excellent C/C++/Scripting (Python, etc.) experience.

Responsibilities

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

Skills

Graphics/Compute algorithms

C/C++/Python

Analytical thinking

Effective team collaboration

Education

Bachelor of Science in Electrical Engineering or Computer Science

Tools

CUDA

HIP

DirectX/Vulkan APIs

RenderDoc/PIX

Job description

AMD's Radeon Technologies Group is seeking a GPU Performance Architect to push the limits of GPU design and analytics in Folsom, CA. You will analyze workloads, identify bottlenecks, and collaborate with architects and engineers across sites to drive PPA improvements and innovative graphics/compute solutions.

The role requires strong C/C++/Python skills, experience in graphics APIs, and a deep understanding of GPU architecture and performance analysis.