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 $162,000–$235,750 — 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 1777 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1443 roles with salary data.

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At a glance

TL;DR · Full Stack AI Systems Engineer

Apple's Stability Engineering team in San Diego is seeking a senior Full Stack AI Systems Engineer to join their Core team. This role involves maintaining and evolving the platform that converts crash reports from Apple devices into actionable insights for engineers. Day-to-day responsibilities include tuning evaluation infrastructure, tightening operational controls, improving auditability, and scaling workflows used by analysts. The ideal candidate will work closely with stability analysts and other teams responsible for symbolication, ETL, and service infrastructure, using AI tools to enhance productivity and system reliability. Required skills include 5+ years of experience in building and operating production systems, fluency in AI-assisted development tools, and expertise in designing and scaling distributed systems. Familiarity with Ruby on Rails, Node.js/TypeScript, or Python for production services is preferred, as well as a background in developer tools and crash/stability analysis.

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.
  • Tighten operational controls, improve auditability, and enhance debug trails in real systems.

What we're looking for

  • 5+ years of professional software engineering 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 work
  • 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 surfaces
  • Proven ability to operate independently on complex, ambiguous problems

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