Principal CPU Power Modeling Engineer (San Diego, CA)

Qualcomm

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$211,900–$317,900 / yr
Posted
5 days ago
Closes
Dec 7, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k
This role $265k
$133k most similar roles pay here $338k

This role pays more than 93% of similar roles. Most pay $171,875–$235,750 — the shaded band above. At the midpoint, this role pays about $265k versus about $204k 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 749 open roles on FindRole.

Listed pay typically runs $154,000–$231,000 across 429 roles with salary data.

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At a glance

TL;DR · Principal CPU Power Modeling Engineer (San Diego, CA)

As a Principal CPU Power Modeling Engineer at Qualcomm Technologies, Inc., you will lead the development of benchmark-driven and workload-based power modeling frameworks across multiple product segments including Mobile, Compute, and XR/VR. Your role involves defining and executing strategies for CPU power modeling, collaborating with software and product teams to characterize real-world workloads, and generating insights that influence architecture and design decisions. You will use Python, TCL, or Perl to develop scalable methodologies and mentor engineers while improving the overall modeling infrastructure. This position requires deep expertise in CPU microarchitecture and performance-power trade-offs, as well as experience in pre-silicon and post-silicon power correlation.

What you'll do

  • Define and lead CPU power modeling strategy across multiple product segments.
  • Develop benchmark-driven and workload-based power models for real-world use cases.
  • Analyze power consumption in various scenarios to provide optimization insights.
  • Generate power-performance trade-off curves for informed design decisions.
  • Drive pre-silicon to post-silicon power correlation efforts for accuracy.
  • Mentor engineers and enhance the modeling infrastructure continuously.

What we're looking for

  • Deep expertise in CPU power modeling and analysis.
  • Strong understanding of CPU microarchitecture and performance-power trade-offs.
  • Proven experience in benchmark analysis and workload characterization.
  • Proficiency in Python, TCL, or Perl for scripting and automation.
  • Experience developing scalable workload-driven power modeling methodologies.
  • Familiarity with industry-standard CPU benchmarks and tools.
  • Strong collaboration skills with software and product teams.

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