GPU Performance Architect

Job Description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.

THE ROLE:

Radeon Technologies Group (RTG) Architecture team is instrumental to AMD’s success. We create innovative hardware solutions and deliver world class GPUs. As a GPU Performance Architect, you will be working on exciting projects with the very best and most passionate GPU team in the world.

THE PERSON:

A self-motivated graphics enthusiast. An effective team player who focuses on collaboration, team building, mentoring, and furthering team success. Excellent analytical and problem-solving skills, along with attention to details. Strong communication, time management, and presentation skills. Effective Team player who focuses on collaboration and furthering team success

KEY 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.

PREFERRED EXPERIENCE:

• 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.)

ACADEMIC CREDENTIALS:

• Undergrad degree required. Bachelor of Science, Masters or PhD degree with emphasis in Electrical Engineering, Computer architecture, or Computer Science is preferred

LOCATION: Santa Clara, CA

#LI-PA1 #LI-Hybrid

This role is not eligible for visa sponsorship.

#LI-Hybrid

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.