Software Engineer, Triage Intelligence and Debug Engineering, CoreOS

The Triage Intelligence and Debug Engineering team operates at the deepest layers of Apples software stack with a mandate that spans the entire product ecosystem. The work we do directly shapes the reliability of over 2 billion active Apple devices every crash triaged every panic root-caused and every automated pipeline we build contributes to the OS stability that hundreds of millions of people depend on every day. We partner closely with engineering teams across Apple to drive that reliability end-to-end influencing how the entire organization detects understands and resolves systemic failures.

We are looking for a curious and motivated Software Engineer with a passion for OS internals automation and intelligent systems. The impact of this role is broad and direct your investigations will uncover failures affecting Apples entire device ecosystem your contributions will touch software running across iPhone Mac and Apple Silicon and the automation pipelines you help build will shape how reliability engineering scales across will dig into the operating system to understand the true origin of crashes and panics not just the symptom at the top of a stack trace but the underlying system-level conditions that caused it. You will operationalize that understanding by encoding triage logic into automation pipelines and explore how ML and AI techniques can make those pipelines smarter over time. You will collaborate across Software Hardware and Silicon teams to drive issues all the way to role is a strong fit for an engineer who is eager to learn how operating systems work at a deep level excited to build scalable automation and intelligent tooling and motivated by seeing their work have real measurable impact.

Triage crashes and panics across Apples OS stack by analyzing crash logs kernel panics and core dumps to isolate root causenCollaborate with Software Hardware and Silicon teams to propose fixes close coverage gaps and drive issues to resolutionnEncode triage logic into automation pipelines so future instances are classified and escalated without manual interventionnApply ML and AI techniques crash clustering anomaly detection pattern recognition to build smarter triage pipelinesnBuild debug tooling scripts and CI/CD integrations that surface OS-level signals and validate platform stability at scale

Working knowledge of C and/or Swift for debug tooling or system-level developmentnExposure to automation frameworks CI/CD pipelines or scalable test systemsnFoundational understanding of OS internals: process and thread lifecycle virtual memory scheduling synchronization and system callsnAbility to read and reason through crash reports and kernel panics backtraces register state and basic memory analysisnHands-on experience with debugging tools such as LLDB GDB or InstrumentsnProficiency in Python for scripting automation and test infrastructuren

Experience applying ML or AI techniques to systems problems crash clustering log anomaly detection failure classification or intelligent alert prioritizationnFamiliarity with LLMs or generative AI tooling in an engineering context prompt engineering RAG pipelines or AI-assisted debugging workflowsnPrior coursework or project experience in OS internals systems programming or low-level debuggingnFamiliarity with Apple platform internals: XNU kernel Darwin subsystems IOKit libdispatch or dyldnContributions to automation frameworks or developer tooling that improved engineering productivitynExperience or interest in collaborating across silicon firmware or platform systems teamsnEnthusiasm for building tools and systems that empower other engineers