Principal SoC Performance Architect

Arm Holdings

Confirmed live today Trusted
Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TX
Salary
$249,900–$338,100 / yr
Posted
14 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $213k
This role $294k
$147k $359k
below market most similar roles pay here above market

This role pays more than 89% of similar roles. Most pay $169,550–$256,950 — the blue band above. At the midpoint, this role pays about $294k versus about $213k for comparable roles.

Based on 240 similar postings.

Employer

About Arm Holdings

Arm Holdings plc is a leading British semiconductor and software design firm, established in 1990 and recognized for developing energy-efficient processor architectures that power nearly all smartphones and a vast range of IoT and computing devices.

Arm Holdings currently has 113 open roles on FindRole.

Listed pay typically runs $208,450–$282,050 across 112 roles with salary data.

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View all roles at Arm Holdings

At a glance

TL;DR · Principal SoC Performance Architect

The Principal SoC Performance Architect – Next-Generation Server Platforms joins a team focused on pushing performance boundaries in modern server systems. This role involves evaluating real-world workloads on production silicon, specifically targeting AI at scale and HPC applications. You will design and implement targeted microbenchmarks to isolate architectural behaviors, identify performance bottlenecks, and recommend actionable optimizations for future platforms. Key responsibilities include defining performance metrics, translating silicon studies into architectural improvements, and providing technical leadership across hardware and software teams. Required expertise includes CPU/accelerator architectures, cache and memory subsystems, and high-performance IO/networking such as PCIe, CXL, InfiniBand, and RoCE. Candidates must be proficient in SystemC, TLM, C++, and Python, with experience in performance analysis tools, profiling, and simulation environments to solve complex scalability problems.

What you'll do

  • Analyze real-world workloads on production silicon with a focus on AI and HPC applications.
  • Design and implement targeted microbenchmarks to isolate and study specific architectural behaviors.
  • Identify performance bottlenecks through detailed analysis and recommend actionable optimizations.
  • Translate workload and silicon study insights into architectural improvements for performance and scalability.
  • Define performance metrics, representative use cases, and benchmarking strategies with multi-functional teams.
  • Drive end-to-end understanding from architecture to workload and silicon validation to ensure best-in-class performance.

What we're looking for

  • Master’s or PhD degree in Computer Engineering, Computer Science, or a related field.
  • 10+ years of experience in system or hardware architecture.
  • Experience with CPU/accelerator architectures, cache and memory subsystems, PCIe, networking, or storage.
  • Strong background in high-performance IO/networking or performance optimization for HPC or cloud-scale systems.
  • Proven expertise in benchmarking methodologies and development of custom microbenchmarks.
  • Solid experience with performance analysis tools, profiling, and simulation environments.
  • Proficiency in SystemC, TLM, C++, and Python.
  • Experience with silicon bring-up or post-silicon performance analysis (preferred).

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