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 worlds 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.

We are seeking a versatile and motivated software quality engineer to join our Siri AI Quality Engineering this role youll be at the forefront of enabling AI assistant experiences in Apples next-generation hardware platforms. Youll 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. Youll also partner closely with product development teams and quality engineering groups as the owner of automation support. This position is ideal for systems u0026 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!

2 years of experience working as a Software Quality engineer with primary focus on automationnExpertise in Python Bash and/or Swift with exposure to ML/NLP librariesnIn-depth knowledge of software development lifecycle testing methodologies and testing toolsnDeveloping test plans assessing risk filing appropriate defects and providing relevant data for test reportingnDevelop and maintain robust testing frameworks using machine learning modelsnExperience with developing test strategiesincluding: writing test plans test cases and testing architecturesnExpertise with LLM usage to innovate and improve efficiency of the daily worknBS/MS or equivalent experience in Computer Science or related field

Strong software engineering skills including system design development testing debugging release and maintenancenDrive development and deployment of relevant ML testing tools and infrastructurenDeep understanding of automated software testing methodologies and lifecycle including integration testing component mocking and dependency injectionnAbility to work independently raise issues and take corrective actionsnAbility to triage problems prioritize accordingly and propose a resolution