System Performance Engineer, Staff

Qualcomm

Confirmed live today High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$155,400–$233,200 / yr
Posted
40 days ago
Freshness
Confirmed live today
Closes
Mar 16, 2027

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k
This role $194k
$125k $245k
below market most similar roles pay here above market

This role pays more than 56% of similar roles. Most pay $162,000–$214,500 — the blue band above. At the midpoint, this role pays about $194k versus about $188k 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 575 open roles on FindRole.

Listed pay typically runs $147,900–$221,900 across 550 roles with salary data.

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At a glance

TL;DR · System Performance Engineer, Staff

The System Performance Engineer, Staff joins the System Performance Team to optimize and validate performance for Snapdragon Chipsets across Mobile, Compute, Automotive, and IOT business units. In this role, you will serve as a technical lead, mentoring junior engineers while researching, simulating, and validating systems-level software, hardware, and architecture. Daily responsibilities include profiling complex concurrent use-cases in Android, Linux, and Windows environments, defining power analysis plans for CPU, GPU, and AI/ML workloads, and triaging root-cause performance issues. You will utilize Python, C/C++, and experience with Vulkan, OpenGL, DX12, or CUDA to solve thermal and power behavior problems. Key technical requirements include knowledge of ARM v8 and v9 specifications, memory hierarchy, system interconnects, and software power management stacks to ensure product requirements are met.

What you'll do

  • Profile and analyze complex concurrent system use-cases in emulation and software environments.
  • Define and document performance and power analysis plans for CPU, GPU, and AI/ML workloads.
  • Identify performance optimization opportunities for both software and hardware architectures.
  • Lead the triage of complex performance issues to determine root causes for stakeholders.
  • Implement optimal power, performance, and thermal solutions with cross-functional teams.
  • Provide technical leadership and mentorship to junior engineers across multiple projects.
  • Prepare performance reports and recommendations for senior executives to drive architecture choices.
  • Develop automation tools to improve team operational efficiency.

What we're looking for

  • Master’s degree in Computer Engineering (preferred).
  • 4+ years of practical post-silicon experience in power and performance analysis of complex SoCs (preferred).
  • 4+ years of work experience interacting with senior leadership (preferred).
  • Strong programming and scripting skills in Python, C, and C++ (preferred).
  • Understanding of memory hierarchy, system interconnects, and ARM SoC concepts (preferred).
  • Knowledge of ARM v8 and v9 specifications (preferred).
  • Experience with Vulkan, OpenGL, DX12, or CUDA (preferred).
  • Knowledge of SW power management stacks and scheduler behavior (preferred).

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