Staff SoC Performance Architect

Arm Holdings

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Austin, TXSan Diego, CA
Salary
$198,100–$268,000 / yr
Posted
100 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $220k
This role $233k
$163k most similar roles pay here $290k

This role pays more than 56% of similar roles. Most pay $184,900–$254,750 — the shaded band above. At the midpoint, this role pays about $233k versus about $220k 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 105 open roles on FindRole.

Listed pay typically runs $209,100–$282,900 across 105 roles with salary data.

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At a glance

TL;DR · Staff SoC Performance Architect

As a Staff SoC Performance Architect – Next-Generation Server Platforms, you will join a team focused on pushing performance boundaries in modern server systems through architectural expertise and silicon-level analysis. You will evaluate real-world workloads on production silicon, specifically targeting AI at scale and HPC applications. Your daily responsibilities include defining performance metrics, designing targeted microbenchmarks to isolate architectural behaviors, identifying bottlenecks, and translating findings into actionable improvements for system scalability. To succeed, you must possess expertise in benchmarking methodologies and experience with CPU/accelerator architectures, cache and memory subsystems, or high-performance IO technologies like PCIe, CXL, InfiniBand, and RoCE. You will utilize a technical toolkit including SystemC, TLM, C++, and Python to navigate complex codebases while providing leadership across hardware and software teams to ensure best-in-class performance for future platforms.

What you'll do

  • Analyze real-world workloads on production silicon with a focus on AI at scale and HPC applications.
  • Define performance metrics, representative use cases, and benchmarking strategies for future platforms.
  • Design and implement targeted microbenchmarks to isolate and study specific architectural behaviors.
  • Identify performance bottlenecks through detailed analysis and recommend actionable optimizations.
  • Translate insights from workload and silicon studies into architectural improvements for performance and scalability.
  • Provide technical leadership as a performance expert across multiple hardware and software teams.
  • Drive end-to-end understanding from architecture to workload to silicon validation to ensure optimal system performance.

What we're looking for

  • Master's or PhD degree in Computer Engineering, Computer Science, or a related field.
  • 6+ years of experience in system or hardware architecture including 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 the development of custom microbenchmarks.
  • Solid experience with performance analysis tools, profiling, and simulation environments.
  • Proficiency in SystemC, TLM, C++, and Python.
  • Ability to navigate and contribute effectively within large, complex codebases.
  • Experience with silicon bring-up or post-silicon performance analysis (preferred); familiarity with performance simulators or architectural modeling tools (preferred).

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