Staff Connectivity Integration & Automation Engineer

Qualcomm

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$151,900–$227,900 / yr
Posted
9 days ago
Closes
Dec 1, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k
This role $190k
$118k most similar roles pay here $240k

This role pays more than 61% of similar roles. Most pay $149,250–$209,812 — the shaded band above. At the midpoint, this role pays about $190k versus about $180k 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 660 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 · Staff Connectivity Integration & Automation Engineer

As a Senior Build and Release Engineer at Qualcomm Atheros, you will lead the design and execution of scalable automation platforms for WiFi/BT connectivity on Snapdragon Android/Linux devices. Your role involves driving CI/CD pipelines to improve release velocity and reliability while ensuring seamless integration across firmware, Android, and tooling teams. You will build reusable tooling for orchestration, failure triage, and health monitoring, leveraging AI for debugging and regression detection. Key responsibilities include defining automation strategies, mentoring engineers, and promoting system-level thinking in DevOps practices. The ideal candidate has deep expertise in CI/CD systems, large-scale integration pipelines, and experience with Python/Shell programming, Jenkins, and telemetry systems.

What you'll do

  • Drive end-to-end execution of software integration for connectivity releases.
  • Own build health and release readiness across all pipelines and coordinate with multiple teams.
  • Design and scale automation for build, integration, validation, and release workflows.
  • Architect CI/CD pipelines to ensure continuous integration and gated releases.
  • Develop AI-based debugging and regression detection systems to optimize workflows.
  • Define automation and DevOps strategy for connectivity integration projects.

What we're looking for

  • Extensive experience in build and release engineering for complex software projects.
  • Deep expertise in designing and scaling CI/CD pipelines and large-scale integration systems.
  • Proficiency in Python and Shell scripting for automation tasks.
  • Strong debugging skills in intricate build and integration environments.
  • Experience with AI-assisted workflows and predictive failure analysis using telemetry data.

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