CI Systems Engineer (AI Failure Analysis), Developer Workflows

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$181,100–$318,400 / yr
Posted
63 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $195k
This role $250k
$127k most similar roles pay here $339k

This role pays more than 88% of similar roles. Most pay $161,875–$227,837 — the shaded band above. At the midpoint, this role pays about $250k versus about $195k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · CI Systems Engineer (AI Failure Analysis), Developer Workflows

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As a CI Systems Engineer at Apple's Software Developer Workflows team, you will join a dynamic group dedicated to enhancing developer productivity through advanced AI integration. Your primary responsibilities include designing intelligent systems that analyze massive volumes of continuous integration data to provide actionable insights for developers. You will develop and implement AI-powered triage workflows, optimize data structures for efficient storage and querying, and collaborate with engineering teams to refine failure analysis capabilities. Essential skills include proficiency in languages like Swift, Scala, Python, or Go, experience with CI infrastructure, and a strong background in applying AI/ML techniques to software development challenges. This role requires expertise in handling large-scale data systems and the ability to drive performance improvements that directly impact developer workflows across Apple's platforms.

Skills

Python Go Swift Scala CI/CD AI ML LLM-based approaches Skills MCP Servers Plugins PostgreSQL NoSQL Distributed data processing frameworks Relational databases Observability platforms Analytics infrastructure

What you'll do

  • Develop AI-assisted systems to transform CI data into actionable insights for developers.
  • Design AI-powered triage workflows to summarize failures and identify patterns across large datasets.
  • Build tools that provide structured access to CI data for intelligent querying and analysis by AI systems.
  • Optimize data structures and database design for efficient storage and deduplication of build and test failures.
  • Implement observability and alerting for CI results infrastructure to ensure reliability and detect systemic failure patterns.
  • Evaluate and iterate on AI approaches, measuring their effectiveness in reducing triage time and improving developer experience.

What we're looking for

  • 8+ years of software engineering experience with a focus on CI infrastructure, data systems, or failure analysis
  • Experience applying AI/ML or LLM-based approaches to software development workflows
  • Proficiency in languages suited for systems and data work (Swift, Scala, Python, Go, C/C++, etc.)
  • Proven ability to independently solve complex problems and collaborate effectively with diverse teams
  • Strong communication skills to translate complex failure data into actionable insights for developers
  • Demonstrated experience designing or contributing to scalable, high-integrity, and performant systems
  • Familiarity with machine learning techniques for failure correlation, anomaly detection, and pattern recognition

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