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🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Apple • Seattle, Washington, United States
Role & seniority: Software Development Engineer in Test (SDET); 3–5+ years of industry experience; Bachelor’s or Master’s in CS or equivalent
Stack/tools: Swift, Objective-C; asynchronous programming (async/await, callbacks, concurrency); framework/API-level automation; CI/CD (ATP, Jenkins, Xcode Cloud); automation infrastructure; analytics pipelines; potential AI/ML integration in automation
Build and scale sophisticated test solutions to improve reliability and performance of Apple Maps across platforms
Automate validation of APIs/SDKs/service integrations, focusing on the Navigation Framework and related foundational areas
Collaborate with Client, Services, and Quality Engineers to define automation needs and architect appropriate solutions
Strong programming in Swift and Objective-C; debug/extend framework- or API-level code
Expertise in non-UI/framework automation and asynchronous testing
Solid CI/CD, automation infrastructure experience; strong analytical, debugging, and communication skills
Maps/Navigation/GeoServices experience; framework/SDK automation architecture
Experience with analytics pipelines, telemetry validation; exposure to AI/ML in automation
Ownership mindset and contribution to test infrastructure evolution
Location & work type: Location not specified; work type not specified
At Apple Maps, we’re not just building world-class location experiences — we’re shaping the future of how people explore and navigate the world. As a Software Development Engineer in Test (SDET), you’ll join a high-impact team that’s passionate about quality, automation, and innovation. You’ll help enhance the reliability and performance of Maps across all platforms by building sophisticated test solutions that scale. Our team culture is one of deep collaboration, shared ownership, and a strong belief that quality is everyone’s responsibility. We support each other, challenge each other, and grow together — all while having fun solving some of the most complex testing problems at Apple. If you’re excited about pushing boundaries in automation and working with an exceptional group of engineers, we’d love to have you on the journey.
DESCRIPTION
As a member of the Maps Client Quality Engineering organization, you will play a key role in advancing the automation that ensures the accuracy and reliability of Apple Maps. Your primary focus will be on the Navigation Framework, while also contributing to other foundational areas that power the Maps experience across Apple platforms.
MINIMUM QUALIFICATIONS
Strong programming skills in Swift and Objective-C, with experience reading, debugging, and extending framework-level or API-level code. Hands-on experience with asynchronous programming and testing (async/await, callbacks, concurrency, dispatch queues). Proven expertise in framework or non-UI automation — validating APIs, SDKs, or service integrations. Solid understanding of CI/CD pipelines and automation infrastructure (ATP, Jenkins, Xcode Cloud). Experience partnering with Client, Services, and Quality Engineers to define automation needs and architect the right solutions for the right problems. Exposure to or direct experience integrating AI/ML techniques into automation workflows (intelligent triage, anomaly detection, test selection). Strong analytical, debugging, and communication skills. Analytics automation or test-data validation experience is a strong plus. Bachelor’s or Master’s degree in Computer Science or equivalent, with 3–5+ years of industry experience in test automation or iOS development.
PREFERRED QUALIFICATIONS
Passion for building clean, reusable test components and contributing to test infrastructure evolution. Strong sense of ownership, curiosity, and drive to improve quality at scale. Experience with Maps, Navigation, or GeoServices frameworks, or other large-scale system APIs. Background in framework or SDK-level automation architecture. Familiarity with analytics pipelines and validation of telemetry or metrics data. Exposure to AI/ML platforms or model-assisted quality systems.