Software Integration Engineer, Siri
Confirmed on the employer's own hiring board on Nov 8, 2026. First seen by Alion on May 5, 2026. Apple scores A on the Alion truth index.
Join the team redefining what a deeply personal and integrated assistant can be.
As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS
This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.
Siri ships across every Apple platform. The Siri Integration Engineering team keeps that pipeline healthy across all of them - coordinating submissions, building and operating the CI/CD systems that power development, and serving as a trusted technical partner to the engineering, quality, and program management teams that ship Siri experiences to hundreds of millions of people. If you want to sit at the center of how software ships at Apple and have a real say in making it better, we want to hear from you!
Description
A successful Siri Integration Engineer owns outcomes, not just tasks. This role sits between development, quality, and program management, which means you'll regularly make judgment calls under deadline pressure, with incomplete information, and without direct authority over the people whose cooperation you need. The work that's hardest to hire for isn't the technical fundamentals - it's knowing when to hold the gate and when to enable a reasonable exception, how to drive a process change through an organization that's resistant, and how to communicate risk clearly to partners who have very different definitions of "done." This team is also actively investing in how AI tools can sharpen integration work, and we're looking for people who bring genuine curiosity and sound judgment to that space. If that balance sounds energizing rather than exhausting, this is the right role.
Minimum Qualifications
BS/MS in Computer Science or related engineering discipline, or equivalent experience. At least 5 years of related industry experience.
Expert command of git: branching models, merge strategies, cherry-pick and conflict resolution, history analysis
Direct experience designing, operating, or significantly improving a CI/CD system in a multi-project environment
Proficient in scripting languages - Python and Bash expected; additional languages a plus
Ability to triage multi-project build and integration failures and communicate root cause clearly
Strong cross-functional collaboration skills - comfortable working between engineering, QA, and program management
Comfortable operating under ambiguity: can prioritize, communicate, and drive progress before all the facts are in
A willingness to take ownership and drive projects to completion
Genuine curiosity about AI tools and a clear interest in applying them to real engineering problems
Preferred Qualifications
Experience managing a large repository portfolio (50+ repos, simultaneous release branches)
Passion for developer experience: CI latency, test reliability, and making it easy to ship confidently
Experience with Apple's XBS/Luxon build system or equivalent enterprise-scale build orchestration
Background in AI, ML, or intelligent assistant platforms (Siri domain knowledge is a plus)
Familiarity with on-device or hardware-in-the-loop test automation
macOS, iOS, or UNIX development environment experience
Hands-on experience using AI tools in daily engineering work and the judgment to know their limits