Sr Software Engineer, Applied AI and Test Automation - Camera Software - Jobs - Careers at Apple
- Lead the architectural design of next-generation camera validation systems, from prototype through production rollout, and drive technical alignment across QA, Camera software engineering, and lab infrastructure.
- Design and ship automated validation across the capture path, verifying that the Camera app's UI and capture flows behave correctly and that the resulting photos and videos carry the expected formats, attachments, and capture metadata, free of obvious visual or structural defects.
- Build AI-assisted triage that turns raw test failures into clustered, de-duplicated, correctly attributed reports that engineers act on with confidence, along with the evaluation harnesses that keep those systems honest.
- Raise the reliability of existing test suites by diagnosing flaky and non-deterministic behavior, eliminating whole classes of failure, and restoring trust in what a failing test means.
- Partner with QA engineers, Camera software engineering, product management, and lab infrastructure teams to decide what gets automated next, and measure the impact and effectiveness of what ships.
- Mentor engineers through design review, code review, and direct, constructive technical feedback.
- 8+ years of professional software engineering and architecture experience.
- 2+ years of hands-on experience building and evaluating modern AI/ML and agentic technologies to solve real-world validation problems.
- Strong track record of designing, building, debugging, and reliably operating effective software test automation solutions that measurably improved defect detection and/or release throughput.
- Deep knowledge of QA testing methodologies and strategy, with experience in one or more of test-result analytics, automated triage, flakiness measurement, and signal-to-noise improvement in automated reporting.
- Experience automating or validating software against physical hardware, devices, or instrumented lab environments.
- Experience building and operating automated test execution at scale, including CI/CD pipelines and unattended test infrastructure.
- Excellent problem-solving and cross-functional collaboration skills in a fast-paced environment where priorities may shift with the release cycle.
- Experience mentoring engineers and giving clear, constructive technical feedback.
- Strong programming skills in at least one of Python, Swift, Objective-C, or C++.
- BS/MS/PhD in Computer Science, AI/ML, Electrical Engineering, or a related technical field, or equivalent work experience.
- Demonstrated experience building reliable agentic or intelligent automation systems, including evaluation frameworks, automated graders, and failure analysis.
- Deep experience with multimodal AI and visual evaluation systems, including vision-language models, computer vision, and automated detection of visual defects in UI or captured output.
- Knowledge of image and video processing applications, camera processing pipelines, photo and video formats, and metadata interpretation.
- Experience automating and testing software on Apple hardware devices, including iPhone, iPad, Mac, and Apple TV, using XCTest/Swift and/or Python/pytest.
- Experience designing and building physical test rigs, robotic actuation, or controlled lighting and scene environments.
- Proven ability to advocate persuasively for a technical position among strong, conflicting opinions.
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🇬🇧 English