Full Stack AI Systems Engineer

Apple Inc

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$139,500–$258,100 / yr
Posted
3 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $199k
This role $199k
$125k most similar roles pay here $272k

This role pays less than 54% of similar roles. Most pay $162,562–$235,812 — the shaded band above. At the midpoint, this role pays about $199k versus about $199k 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 1817 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 1482 roles with salary data.

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At a glance

TL;DR · Full Stack AI Systems Engineer

Apple's Stability Engineering team is seeking a senior Full Stack AI Systems Engineer to join its Core team, responsible for maintaining and evolving the platform that converts crash reports from Apple devices into actionable insights. This role involves tuning evaluation infrastructure, tightening operational controls, improving auditability, and scaling workflows relied upon by analysts. You will also integrate new capabilities using AI-assisted development tools fluently, collaborating closely with domain experts in OS reliability. Ideal candidates have 5+ years of experience building and operating production systems, a strong background in distributed system design, and proficiency with full-stack technologies including Ruby on Rails, Node.js/TypeScript, or Python. Experience with LLMs and agents in production environments is preferred, as well as familiarity with developer tools and crash/stability analysis domains.

What you'll do

  • Design and scale distributed systems to handle load balancing and active-active topologies.
  • Maintain and evolve existing production services by enhancing observability and operational controls.
  • Use AI-assisted development tools fluently for issue investigation and large-scale refactoring.
  • Prototype and integrate new capabilities into the stability analysis platform as needed.
  • Work closely with domain experts to improve auditability and debug trails in real systems.

What we're looking for

  • 5+ years of professional experience building and operating production systems
  • BS in Computer Science or related field, or equivalent practical experience
  • Fluent use of AI-assisted development tools for effective large-scale engineering
  • Experience designing and scaling distributed systems with load balancing and capacity planning
  • Track record of maintaining and evolving production services with observability and incident response
  • Strong full-stack skills spanning data infrastructure to user-facing applications
  • Ability to operate independently on complex, ambiguous problems in a production environment

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