Sr. Software QA Engineer, Siri Client Platforms

We are seeking a Senior Software Engineer to join our Siri AI Client Platforms Quality Engineering team. We are a fast-paced, and deeply collaborative team that values the tight relationship between Quality engineering, Product engineering, and program management. We move quickly, we hold ourselves to the highest standards, and we genuinely care about the products we build. You are someone who thrives in ambiguity, takes initiative without being asked, and holds yourself and others to a high bar. You believe quality is a team sport and you have the technical chops and collaborative spirit to prove it. If you are someone who thrives in an environment where your work matters, where innovation is encouraged, and where you can see the direct impact of your contributions on a global scale, this is the team for you. Minimum Qualifications 7+ years of software quality engineering experience, with at least 2 years in quality lead or tech lead role. Strong hands-on experience building and scaling test automation frameworks. Proven ability to work independently and take ownership with minimal direction. Experience partnering with Product and Design teams in an agile/iterative development environment. Excellent communication skills with the ability to influence across engineering and non-engineering stakeholders. Demonstrated success in collaborating cross-functionally with engineering, machine learning, and data science teams to solve complex challenges. Proficiency with software revision control (e.g. Git) and CI/CD systems (e.g. Jenkins). Highly organized with strong planning skills to estimate, update, and communicate progress. BS/MS in Computer Science, Engineering, or a related field. Preferred Qualifications Experience with spatial computing, AR/VR, or platform-level quality engineering. Experience building tooling solutions with Claude tools. Strong passion for quality assurance in software, including developing, extending and maintaining test plans, methodologies. Ability to collaborate cross-functionally across various facets of the organization as well as understand technical and interdisciplinary dependencies. Strong analytical and problem-solving skills with a data-driven mindset.