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GPU Performance Architect

Job in Folsom, Sacramento County, California, 95630, USA
Listing for: Advanced Micro Devices
Full Time position
Listed on 2026-05-01
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

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:

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 and effective team player who focuses on collaboration, team building, mentoring, and furthering team success. Excellent analytical and problem‑solving skills, along with attention to detail, 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 So Cs
  • Analyze existing and emerging graphics/compute paradigms and algorithms
  • Implement and run simulation models—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 (Direct

    X/Vulkan/CUDA/HIP, etc.)
  • Knowledge of GPU architecture and compilers
  • Experience in GFX profiling tools is a plus (PIX, Render Doc, AMD tools, etc.)
ACADEMIC CREDENTIALS:
  • Undergraduate degree required. Bachelor of Science, Masters or PhD degree with emphasis in Electrical Engineering, Computer Architecture, or Computer Science is preferred

This role is not eligible for visa sponsorship.

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.

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