Software QA Engineer - Automation, Siri

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.

Description

We are seeking a versatile and motivated software quality engineer to join our Siri AI Quality Engineering group. In this role, you'll be at the forefront of enabling AI assistant experiences in Apple’s next-generation hardware platforms. You'll ensure that our software frameworks and environments are updated and modernized to adapt to the new architectures and usage scenarios of new products in the development pipeline. You'll also partner closely with product development teams and quality engineering groups as the owner of automation support. This position is ideal for systems & framework engineers who are passionate about quality, enjoy creating scalable simulation systems, and are eager to contribute to the success of pioneering AI products. If you have a strong background in software development and experience building tools for simulation and quality, we would love to hear from you!

Minimum Qualifications

2+ years of experience working as a Software Quality engineer with primary focus on automation
Expertise in Python, Bash and/or Swift with exposure to ML/NLP libraries
In-depth knowledge of software development lifecycle, testing methodologies, and testing tools
Developing test plans, assessing risk, filing appropriate defects, and providing relevant data for test reporting
Develop and maintain robust testing frameworks using machine learning models
Experience with developing test strategies, including: writing test plans, test cases, and testing architectures
Expertise with LLM usage to innovate and improve efficiency of the daily work
BS/MS or equivalent experience in Computer Science or related field

Preferred Qualifications

Strong software engineering skills, including system design, development, testing, debugging, release and maintenance
Drive development and deployment of relevant ML testing tools and infrastructure
Deep understanding of automated software testing methodologies and lifecycle, including integration testing, component mocking, and dependency injection
Ability to work independently, raise issues and take corrective actions
Ability to triage problems, prioritize accordingly, and propose a resolution