Principal Performance Modeling Engineer

Amd

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Austin, TXSanta Clara, CA
Salary
$188,160–$282,240 / yr
Posted
73 days ago
Freshness
Confirmed live yesterday
Closes
Jun 30, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $200k
This role $235k
$126k most similar roles pay here $299k

This role pays more than 76% of similar roles. Most pay $169,550–$231,037 — the shaded band above. At the midpoint, this role pays about $235k versus about $200k 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.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · Principal Performance Modeling Engineer

As a Principal Performance Modeling Engineer on the electronics design engineering team, you will serve as a performance architect focused on high-performance SoCs for cloud computing and machine learning acceleration. You will participate in microarchitecture exploration, performance modeling, and analysis for next-generation GPU and data center systems. Your daily responsibilities include performing micro-benchmarking, workload characterization, competitive analysis, and bottleneck identification to optimize power and performance. You will develop tools and methodologies for performance analysis while proposing solutions to processor and system issues. The role requires expertise in computer system microarchitecture, workload analysis, and the development of performance models. Candidates should possess strong programming skills in C++ and Python. This position addresses critical technical challenges in designing advanced GPU SoCs and optimizing data center systems for modern computing demands.

What you'll do

  • Architect, analyze, and optimize high-performance SoCs for cloud computing and machine learning acceleration.
  • Propose solutions to enhance performance and optimize power for next-generation GPU SoC and data center systems.
  • Participate in microarchitecture exploration, performance modeling, and analysis for upcoming hardware.
  • Perform micro-benchmarking, workload characterization, and competitive analysis to identify system bottlenecks.
  • Develop tools and methodologies for the performance analysis of various workloads.
  • Communicate and implement technical solutions to address processor and system performance issues.

What we're looking for

  • A Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field is required.
  • A Master's or PhD with an emphasis on computer architecture performance studies is preferred.
  • Candidates with a PhD and 5 years of experience are required.
  • Candidates with a Master's degree and 8 years of experience as a Computer Architect or Design Engineer are required.
  • Candidates with a Bachelor's degree and 12 years of relevant experience are required.
  • Experience with GPU, CPU, or computer system microarchitecture is preferred.
  • Experience with the development and usage of computer system performance models is preferred.
  • Strong programming skills in C++ and Python (or similar) are required.

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