Principal Datacenter GPU Performance Architect

Amd

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Austin, TX
Salary: $212,000–$318,000 / yr
Posted: 23 days ago
Freshness: Confirmed live yesterday
Closes: Aug 19, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $224k

This role $265k

$158k most similar roles pay here $335k

This role pays more than 80% of similar roles. Most pay $192,250–$254,750 — the shaded band above. At the midpoint, this role pays about $265k 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 367 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 367 roles with salary data.

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At a glance

TL;DR · Principal Datacenter GPU Performance Architect

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As a Principal Datacenter GPU Performance Architect, you will join a core team of specialists focused on improving the performance of leading AI models and agentic workloads. You will collaborate with architecture specialists to improve future products, design groundbreaking technologies, and participate in new ASIC and hardware bring ups. Your daily work involves applying a data-minded approach to target optimization efforts while debugging complex platform and rack-level bottlenecks, including multi-node communication issues. The role requires extensive experience in low-level GPU performance optimization and system-level software troubleshooting. You will utilize C/C++, modern concurrent programming, and threading APIs to solve technical challenges. Proficiency with debuggers, profilers, and source code control systems like GitHub is expected to help research more efficient ways to execute work within the high-performance computing and AI infrastructure space.

Skills

GPU C++ C Object-Oriented Programming Multi-node Communication Threading APIs GitHub Debugging ASIC High-Performance Computing AI Source Code Control Systems

What you'll do

Improve the performance of leading AI models and agentic workloads.
Collaborate with architecture specialists to improve future product designs.
Use a data-driven approach to identify and target optimization efforts.
Design and develop new groundbreaking AMD technologies.
Participate in new ASIC and hardware bring-ups.
Debug and fix existing issues while researching more efficient technical alternatives.
Identify and resolve complex platform, rack-level, and multi-node communication bottlenecks.

What we're looking for

Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.
Extensive experience with low-level GPU performance optimization.
Experience debugging complex system level software bottlenecks.
Experience debugging multi-node communication and performance bottlenecks.
Strong object-oriented programming background, preferably in C/C++.
Experience with modern concurrent programming and threading APIs.
Familiarity with software development tools including debuggers, source code control systems (GitHub), and profilers.
Effective communication and problem-solving skills.

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