Senior AI Systems Performance Engineer

Amd

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Austin, TX
Salary
$178,400–$267,600 / yr
Posted
4 days ago
Freshness
Confirmed live today
Closes
Oct 6, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $195k
This role $223k
$138k $281k
below market most similar roles pay here above market

This role pays more than 70% of similar roles. Most pay $154,425–$235,750 — the blue band above. At the midpoint, this role pays about $223k versus about $195k 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 502 open roles on FindRole.

Listed pay typically runs $168,000–$252,000 across 502 roles with salary data.

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View all roles at Amd

At a glance

TL;DR · Senior AI Systems Performance Engineer

The Senior AI Systems Performance Engineer serves as a technical leader defining the AI workload performance characterization strategy for next-generation embedded and client platforms. You will lead the development of benchmarking methodologies, design scalable infrastructure, and maintain automated performance dashboards. Your daily work involves performing deep root-cause analysis of bottlenecks across software, firmware, operating systems, silicon, and memory layers. You will utilize advanced profiling and tracing tools to analyze power, throughput, latency, and efficiency tradeoffs. Required skills include expertise in AI frameworks like PyTorch, ONNX Runtime, vLLM, TensorFlow, ROCm, and Ryzen AI, alongside knowledge of Linux systems and heterogeneous computing platforms like GPUs and NPUs. You will translate complex technical data into insights for product planning and customer engagements.

What you'll do

  • Lead AI workload benchmarking and performance characterization across AMD embedded and client platforms.
  • Design and maintain scalable benchmarking infrastructure, automated dashboards, and workload analysis methodologies.
  • Perform deep root-cause analysis of performance bottlenecks across software, firmware, silicon, and memory layers.
  • Use advanced profiling and tracing tools to identify optimization opportunities for AI workloads.
  • Analyze power, performance, throughput, latency, and efficiency tradeoffs across diverse AI deployments.
  • Provide actionable performance insights to engineering leadership, product planning organizations, and external partners.
  • Develop performance evaluation methodologies for competitive analysis and business strategy.
  • Mentor junior engineers and establish best practices across the AI performance engineering organization.

What we're looking for

  • Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical discipline.
  • Strong AI software knowledge combined with deep hardware and system-level expertise.
  • Experience leading AI workload benchmarking and performance characterization across embedded and client platforms.
  • Ability to perform root-cause analysis of performance bottlenecks across software, firmware, OS, silicon, and memory layers.
  • Proficiency in designing scalable benchmarking infrastructure, automated dashboards, and workload analysis methodologies.
  • Deep understanding of AI inference workloads and performance optimization techniques (preferred).
  • Hands-on experience with AI frameworks such as PyTorch, ONNX Runtime, vLLM, TensorFlow, ROCm, or Ryzen AI (preferred).
  • Experience with Linux systems, heterogeneous computing platforms, and scripting in Python or Shell (preferred).

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