Staff SoC Performance Architect

Arm Holdings

Confirmed live today Low trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CASan Diego, CA
Salary
$209,100–$282,900 / yr
Posted
140 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $220k
This role $246k
$163k $296k
below market most similar roles pay here above market

This role pays more than 71% of similar roles. Most pay $185,500–$254,750 — the blue band above. At the midpoint, this role pays about $246k 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 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 · Staff SoC Performance Architect

The Staff 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, collaborating with hardware and software teams on system-level design decisions, and translating silicon studies into architectural improvements. Required technical skills include proficiency in SystemC, TLM, C++, and Python, alongside experience with performance analysis tools, profiling, and simulation environments. You must possess expertise in benchmarking methodologies and hardware architectures, including CPU, cache, memory subsystems, PCIe, networking, or storage.

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 to 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.
  • 6+ 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).
  • Familiarity with performance simulators or architectural modeling tools (preferred).

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