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Navigation Framework Software Development in Test (SDET) – Apple Maps

Info Way Solutions · Cupertino, CA

Strong hiring record · median 11 days open

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Navigation Framework Software Development in Test (SDET) – Apple Maps at Info Way Solutions. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Navigation Framework Software Development in Test (SDET) – Apple Maps

Location

Cupertino, CA - 5 days in work from office;

Positions

1

Summary

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.

Responsibilities

-Architect and implement framework-level automation that validates navigation routing, guidance, ETA accuracy, and other service integrations.

-Build asynchronous and data-driven tests that model real-world navigation behaviours and system responses. -Collaborate with Client, Services, and Quality Engineers to identify coverage gaps, define automation requirements, and deliver scalable solutions that improve reliability and signal quality.

-Extend existing frameworks to support multiple environments, reduce runtime, and strengthen regression detection. -Collaborate with AI-driven quality initiatives to integrate intelligent insights — enabling smarter test selection, automated triage, and faster root-cause analysis.

-Contribute to the evolution of Apple Maps' automation ecosystem, helping to shape how AI, analytics, and frameworks come together to raise the bar for quality at scale. Your work will directly influence how millions of users experience navigation, discovery, and exploration across the Apple ecosystem.

Minimum Qualifications

-Strong programming skills in OOPS - Swift/Python/Java, with experience reading, debugging, and extending framework-level or API-level code.

-3+ years of industry experience in test automation or iOS development.

-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.

-Strong analytical, debugging, and communication skills.

-Bachelor's or Master's degree in Computer Science or equivalent

Preferred Qualifications

-Experience with XCTest is highly preferred

-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.

-Hands-on experience with asynchronous programming and testing (async/await, callbacks, concurrency, dispatch queues).

-Exposure to or direct experience integrating AI/ML techniques into automation workflows (intelligent triage, anomaly detection, test selection).

-Analytics automation or test-data validation experience is a strong plus.

Skills

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