Siri AI Quality Engineer — Automate Next-Gen AI Testing

Apple Inc.; Cupertino (CA); On-site; USD 124,000 - 218,000; Full time

Job summary

Apple Inc. in Cupertino, California is seeking a versatile Software Quality Engineer to join the Siri AI Quality Engineering group.

You will help ensure our software frameworks and environments are updated to support new architectures across iOS, iPadOS, macOS, watchOS and visionOS while prioritizing privacy and user trust. You will own automation support, develop testing frameworks, and collaborate with product teams to shape AI assistant experiences.

Qualifications

• 2+ years of experience as a Software Quality engineer with a 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 defects, and providing data for test reporting.
• Develop and maintain robust testing frameworks using machine learning models.
• Experience with developing test strategies, including writing test plans and test cases.
• Expertise with LLM usage to innovate and improve efficiency of daily work.

Responsibilities

• Own automation efforts within the Siri AI Quality Engineering group.
• Develop and maintain testing frameworks and automation tools.
• Collaborate with product teams to ensure high-quality AI features.
• Contribute to testing architectures and strategies across platforms.

Skills

2+ years automation QA experience

Python

Bash

Swift

ML/NLP libraries

SDLC & testing tools

LLM usage

Education

BS/MS or equivalent in CS

Job description

Apple Inc. in Cupertino, California is seeking a versatile Software Quality Engineer to join the Siri AI Quality Engineering group.

You will help ensure our software frameworks and environments are updated to support new architectures across iOS, iPadOS, macOS, watchOS and visionOS while prioritizing privacy and user trust. You will own automation support, develop testing frameworks, and collaborate with product teams to shape AI assistant experiences.