GPU Performance Architect

Amd

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Austin, TX
Salary
$178,400–$267,600 / yr
Posted
53 days ago
Freshness
Confirmed live today
Closes
Sep 4, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $224k
This role $223k
$166k $290k
below market most similar roles pay here above market

This role pays less than 52% of similar roles. Most pay $194,208–$254,750 — the blue band above. At the midpoint, this role pays about $223k versus about $224k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 496 open roles on FindRole.

Listed pay typically runs $172,000–$258,000 across 496 roles with salary data.

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At a glance

TL;DR · GPU Performance Architect

JOB TITLE: GPU Performance Architect The GPU Performance Architect joins the Architecture team to drive innovation in world-class GPU hardware solutions. This role involves performing workload and competitive analysis on contemporary and futuristic game, AI, and ML applications to identify complex technical problems. You will work with architects to understand bottlenecks in graphics cores and SoCs while analyzing emerging graphics and compute paradigms. Daily responsibilities include implementing and running RTL and high-level simulation models to estimate potential gains, proposing PPA improvements, and driving initiatives to improve RTG analysis tools. Required skills include experience with C/C++, Python, and Kernel development for LLMs using PyTorch, Triton, CUDA, and HIP. Candidates should possess knowledge of Graphics/Compute APIs like DirectX and Vulkan, as well as GPU architecture and compilers.

What you'll do

  • Perform workload and competitive analysis on contemporary and futuristic game, AI, and ML applications.
  • Identify complex technical problems and summarize multiple possible solutions to drive team progress.
  • Identify and analyze bottlenecks in graphics cores and SoCs with the architecture team.
  • Analyze existing and emerging graphics/compute paradigms and algorithms.
  • Implement and run RTL and high-level simulation models to estimate potential performance gains.
  • Propose innovative solutions for Power, Performance, and Area (PPA) improvements.
  • Drive initiatives to improve RTG analysis tools.

What we're looking for

  • Excellent analytical, problem-solving, communication, and presentation skills.
  • Experience spanning architecture, performance analysis, and AI/ML/graphics/compute algorithms (preferred).
  • Experience in Kernel development of LLMs using PyTorch, Triton, CUDA, or HIP (preferred).
  • Excellent C/C++ and scripting experience such as Python (preferred).
  • Knowledge of Graphics/Compute APIs like DirectX, Vulkan, CUDA, or HIP (preferred).
  • Experience with AI/ML use cases and collaborating with AI agents in engineering workflows (preferred).
  • Knowledge of GPU architecture and Compilers (preferred).
  • Experience in GFX profiling tools like PIX, RenderDoc, or AMD tools (preferred).
  • Bachelor of Science, Masters, or PhD degree in Electrical Engineering, Computer Architecture, or Computer Science (preferred).

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