Sr. Software Reliability & Stability Quality Engineer, Siri Speech

The Siri Speech team is looking for exceptional individuals to extend the core technology that lets Siri understand, learn, and remember. In this role you will: - Bring technical depth to help solve challenging and novel problems and enable quantitative measurements of quality. - Ability to develop automation tools, data corralling tools coming from various automation pipelines, and work cross-functionally to learn & reuse existing tools. - Deliver clear reports to partners and executives as products under test move through each development phase. - Take ownership of issues and drive them to resolution. - Balance priorities between short term results and long term infrastructure improvements. - Continuously improve tests and processes with a drive towards innovation and automation. Minimum Qualifications Minimum 3 years of software quality experience. Strong passion for quality assurance in software, including developing and maintaining automated test libraries and tools. Strong programming and software design skills, preferably in Swift and/or Python. Excellent knowledge of and experience with test methodologies ranging from functional unit tests to non-functional exploratory testing. Experience building and deploying production-grade AI agent systems Improving workflows using AI tools Experience in building automated UI and non-UI tests for user facing applications or system frameworks. Creative problem solver with a knack for building scalable solutions in a collaborative and cross-functional space. Ability to proactively triage, investigate, and debug difficult technical and UX problems independently as well as collaboratively. Highly organized with strong planning skills to estimate, update, and communicate progress. Preferred Qualifications Bachelor's degree or equivalent experience in a related field. Knowledge of the Apple development ecosystem using Xcode, Xcode Cloud, and XCTest or XCUITest preferred Experience with or knowledge of Machine Learned (ML) systems and associated qualification approaches. Strong interpersonal skills to work well with engineering teams Excellent problem solving and critical thinking Ability to work in a fast-paced environment with rapidly changing priorities Passionate about building extraordinary products and experiences for our users