Software Engineer

Qualcomm

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$99,500–$149,300 / yr
Posted
8 days ago
Freshness
Confirmed live yesterday
Closes
Mar 20, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $157k
This role $124k
$88k most similar roles pay here $210k

This role pays less than 79% of similar roles. Most pay $136,781–$177,250 — the shaded band above. At the midpoint, this role pays about $124k versus about $157k 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 590 open roles on FindRole.

Listed pay typically runs $155,400–$233,200 across 568 roles with salary data.

Most-posted roles

View all roles at Qualcomm

At a glance

TL;DR · Software Engineer

As a #Software Engineer within the Engineering Group, you will drive AI-powered engineering productivity initiatives across large-scale software development organizations. You will be responsible for architecting and deploying agentic workflow frameworks, building automation for software development lifecycle processes, and creating engineering dashboards to track operational metrics. Your daily work involves developing AI-assisted debugging, triage, and root cause analysis workflows while defining the technical direction for engineering productivity services. To succeed in this role, you must possess proficiency in Python or C++, along with experience in system design, large language models, RAG systems, and internal developer platforms. You will solve complex problems related to software quality, CI/CD, and release engineering by integrating generative AI technologies into existing workflows to reduce manual effort and increase development velocity across multiple technical teams.

What does a Software Engineer earn in California?

Median $214000 from 781 postings across 68 companies.

See salary data

What you'll do

  • Design and implement AI-powered engineering productivity solutions for large-scale software development organizations.
  • Develop and scale agentic workflow frameworks to automate engineering tasks.
  • Build automation systems for software development lifecycle (SDLC) processes.
  • Create engineering dashboards, reporting systems, and operational metrics to track performance.
  • Enable AI-assisted debugging, triage, and root cause analysis workflows.
  • Define the architecture and technical direction for engineering productivity services.
  • Drive the adoption of generative AI technologies within internal software engineering workflows.

What we're looking for

  • Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field.
  • MS in Computer Science, Computer Engineering, or related field (preferred).
  • Strong proficiency in Python, C++, or comparable programming languages (preferred).
  • Experience building developer tools, automation systems, engineering platforms, or internal developer platforms (preferred).
  • Experience with Large Language Models (LLMs), AI agents, and RAG systems (preferred).
  • Experience with large-scale software development environments (preferred).
  • Strong system design, architecture, and cross-functional collaboration skills (preferred).
  • Familiarity with telemetry, metrics, analytics, CI/CD, and other engineering workflows (preferred).

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