CPU Performance Analysis Engineer

Qualcomm

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $111,200–$166,800 / yr
Posted: 32 days ago
Freshness: Confirmed live 2 days ago
Closes: Feb 6, 2027
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k

This role $139k

$96k most similar roles pay here $257k

This role pays less than 94% of similar roles. Most pay $177,050–$227,900 — the shaded band above. At the midpoint, this role pays about $139k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 623 open roles on FindRole.

Listed pay typically runs $148,300–$222,500 across 603 roles with salary data.

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At a glance

TL;DR · CPU Performance Analysis Engineer

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As a CPU Performance Analysis Engineer within the SoC Architecture team, you will focus on performance analysis, tuning, and workload characterization for silicon and performance simulators. Your daily responsibilities include collecting performance data, profiling execution to identify software or hardware improvements, and developing tools to capture representative traces for simulators. You will create micro-benchmarks to analyze competitor CPU and SoC characteristics while building competitive performance prediction models. The role requires a strong grasp of computer architecture and OS fundamentals, with proficiency in C, C++, x86, and ARM assembly. You will utilize scripting languages like Bash, Perl, and Python, alongside tools such as Vtune, perf, DynamoRio, and PIN. Experience with industry benchmarks like GeekBench or Speedometer, along with knowledge of compilers and system programming, is essential for solving complex performance challenges in the server and client domains.

Skills

C C++ Python Bash Perl x86 Linux Android Windows GCC LLVM Perf Vtune DynamoRio PIN Memcached NGINX Redis DCPerf

What you'll do

Collect CPU performance data for various workloads and benchmarks.
Conduct detailed workload characterization on silicon and performance simulators.
Profile workload execution to identify performance improvements in software and hardware.
Develop tools and techniques to collect representative workload traces for CPU simulators.
Create micro-benchmarks to analyze the performance characteristics of competitor CPUs and SoCs.
Build competitive performance prediction models based on industry standard benchmarks.
Present competitive performance data in a concise manner to stakeholders.

What we're looking for

Bachelor's degree in Electrical Engineering, Computer Science, or a related field.
Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science with 10+ years of relevant work experience.
At least 2 years of experience in system architecture technology areas and products.
Strong grasp of computer architecture and OS fundamentals.
Proficiency in C, C++, x86, and ARM compatible assembly language.
Strong scripting skills in Bash, Perl, or Python.
Experience with hardware performance profiling tools, binary instrumentation tools, and CPU performance simulators.
Experience characterizing industry standard benchmarks and developing trace collection tools for performance simulators.

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