CI Systems Engineer - AI Failure Analysis

Cupertino, California, United States Software and Services Apple's Software Developer Workflows team delivers fast, reliable CI systems that make Apple's software easier to develop and ship. We believe that streamlined development unlocks creativity, innovation, and potential for developers. We're looking for a skilled CI Systems Engineer to join our team and help build intelligent AI‑assisted systems that enable Apple's OS engineers to understand, diagnose, and resolve build and test failures at scale. We value diverse perspectives and unique skills. More than specific experience, we seek an engineer passionate about building great software, applying AI thoughtfully to real problems, continuous learning, and solving complex technical challenges. Description In this role, you will design and maintain infrastructure for collecting, processing, and analyzing massive volumes of CI results data – and you will integrate AI capabilities that transform how developers interact with failure information. Your work will turn complex failure signals into actionable insights that accelerate development, using AI to summarize failures, separate genuine issues from distractions, and help engineers focus on what needs attention. Success requires flexibility, proactivity, and thriving in a supportive environment with challenging problems. You'll need excellent judgment for timely technical decisions, ability to collaborate effectively on design discussions, and strong technical depth to make informed tradeoffs about when and how AI can genuinely improve developer workflows. In your role as a CI Systems Engineer, you will work at the intersection of AI and developer tools, shaping how thousands of engineers across Apple diagnose failures. You'll have the autonomy to evaluate new AI approaches, influence infrastructure architecture, and see your work directly reduce friction in Apple's software development process. Responsibilities Develop AI‑assisted failure analysis systems that transform raw CI data into actionable insights, helping developers quickly diagnose root causes and understand test failure patterns Design and implement AI‑powered triage workflows that intelligently summarize failures, identify patterns across large result sets, and distinguish signal from noise Build and integrate tools that give AI systems structured access to CI data, enabling intelligent querying and analysis Optimize data structures and database design for fast storage and deduplication of build and test failures, ensuring AI systems have efficient access to the context they need Drive performance improvements and optimization initiatives for results storage and query latency to meet developer needs Collaborate with OS engineering teams across platforms (iOS, macOS, etc.) to understand diagnostic needs and refine AI‑assisted analysis capabilities Implement observability and alerting for the CI results infrastructure itself, ensuring reliability and detecting systemic failure patterns Evaluate and iterate on AI approaches, measuring their effectiveness at reducing triage time and improving developer experience Share technical knowledge and best practices with team members on failure analysis, AI integration patterns, data systems design, and infrastructure challenges Minimum Qualifications BS in Computer Science or equivalent professional experience 8+ years of software engineering experience, preferably 2+ years focused on CI infrastructure, data systems, or failure analysis Experience applying AI/ML or LLM‑based approaches to software development workflows, tooling, or automation Proficiency in one or more languages suited to systems and data work (Swift, Scala, Python, Go, C/C++, etc.) Proven ability to work independently on complex problems and collaborate effectively on team initiatives Strong communication skills to collaborate with diverse teams and translate complex failure data into developer‑friendly insights Demonstrated experience in designing or contributing to systems that handle scale, data integrity, and query performance Preferred Qualifications Experience building or integrating with AI agents using the latest‑available tools such as Skills, MCP Servers, Plugins, or LLM‑powered tooling Proven experience integrating AI into developer workflows with measurable impact on engineering efficiency; code review, testing, debugging, triage, or productivity tooling Familiarity with machine learning techniques applied to failure correlation, anomaly detection, or pattern recognition Deep expertise in data storage, retrieval, and analysis, including experience with relational and NoSQL databases Experience building data pipelines or working with distributed data processing frameworks Background working on large‑scale data systems, observability platforms, or analytics infrastructure Experience with CI/CD failure analysis, test result aggregation, or build system diagnostics, including root cause analysis, diagnostic tooling, and observability practices Knowledge of iOS or macOS internals, development environments, build agents, and testing infrastructure At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr