
Software Engineer, Triage Services
Cupertino, CAFull-timeSeen 3w agoSeen in employer's feed 3 days ago
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Job overview
The System Triage Services team builds mission‑critical applications that detect, analyze, and classify low‑level software crashes across Apple platforms. The role designs and builds AI‑powered triage solutions, working on distributed systems, agent development, and infrastructure to improve reliability and scale for Core OS debugging.
Skills & qualifications
Skills
Qualifications
Full job description
Weekly Hours: 40
Role Number: 200683343-0836
Summary
The System Triage Services team builds mission-critical applications that help detect, analyze, and classify low-level software crashes across all Apple platforms. You will design and build the next generation of AI-powered triage solutions, which serves as the first line of defense for all technologies developed by Core OS.
This role blends distributed systems engineering with hands-on agent development, tackling problems in reliability, scale, and system design alongside applied AI. If you want to understand operating systems at a deep level and are motivated by shipping work with measurable, visible impact, this role is for you!
Description
You will design and build agentic systems that transform how Core OS triages software bugs and features at scale — building production-grade infrastructure that runs AI/ML workloads reliably and improves over time through rigorous evaluation and feedback loops. The goal is to make autonomous triage a dependable, first-class part of how Core OS ships and debugs software. You'll work across the build and integration lifecycle, agent orchestration, and the infrastructure that connects them, partnering with project managers and engineering teams across Software, Hardware, and Silicon groups to turn complex triage requirements into resilient systems.
Minimum Qualifications
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Programming experience in Python
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Experience building scalable data platforms and distributed systems.
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Experience with LLM and agent development.
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Knowledge of RAG architectures, embedding generation, vector databases, and AI data preparation for agentic workflows.
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Familiarity with eval frameworks for agent quality (offline benchmarks, drift detection, confidence scoring).
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Bachelor's degree in Computer Science, Data Engineering, or a related field.
Preferred Qualifications
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Master's degree in Computer Science, Data Engineering, or a related field.
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1+ year developing production-grade agentic systems.
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Strong collaboration and communication skills working across multi-domain software engineering teams.
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Experience with large-scale telemetry or observability systems feeding automated decision-making.
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Experience shipping tools adopted by engineering teams beyond your own.
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Background in kernel or OS-level debugging, crash analysis, or root-cause investigation.
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.
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