QE Intelligence — Software Development Engineer — Apple Maps

Apple • Cupertino, CA

11d

About The Position

At Apple Maps, we're not just building world-class location experiences — we're shaping the future of how people explore and navigate the world. The Maps Client Quality Engineering Intelligence (QEI) team applies AI across the full breadth of QE workflows — from test scheduling and triage to coverage analysis and release readiness — to help QE leads and SDETs ship with confidence. We raise quality and velocity at the same time. Our culture is one of deep collaboration, shared ownership, and a belief that the best solutions come from staying close to the people who use them. If you're excited about applying AI to transform how a large quality organization works, we'd love to have you on the journey.

Requirements

• Strong Python skills with experience building backend services, data pipelines, or APIs.
• Experience with web technologies (TypeScript, React/Next.js, or similar frameworks).
• Proven ability to ship features end-to-end: requirements through deployment and monitoring.
• Solid understanding of REST API design, microservices architecture, and CI/CD.
• Experience partnering with QE or automation engineers to define tooling needs and architect solutions.
• Foundational understanding of AI concepts — LLMs (e.g. Claude), agents, RAG architectures, prompt engineering, and Model Context Protocol (MCP) — with the ability to apply them to real engineering problems.
• Exposure to or experience integrating AI/ML into engineering workflows (intelligent triage, test selection, knowledge retrieval).
• Strong analytical, debugging, and communication skills.
• Creative problem-solver who can turn ambiguous asks into concrete deliverables.
• Bachelor's or Master's degree in Computer Science or equivalent, with 3-6 years of industry experience in software development.

Nice To Haves

• Hands-on experience deploying AI/ML in production settings — shipping models, pipelines, or AI-powered features to real users.
• Passion for building clean, reusable tools and contributing to platform evolution.
• Strong sense of ownership and drive to improve quality at scale.
• Background in developer tooling, internal platforms, or test automation frameworks (XCTest, XCUI, or similar).
• Familiarity with large-scale engineering platforms (bug tracking, test execution, CI/CD, build systems) and navigating complex enterprise tooling ecosystems.

Responsibilities

• Identify opportunities to apply AI solutions across QE workflows — test planning, automation, triage, analytics, and reporting— and build the platforms that deliver them.
• Bridge QE leads who define test strategy and SDETs who build automation foundations, becoming the engineer both groups come to when they need a problem solved.
• Help the team stay ahead by evaluating new techniques, prototyping quickly, and knowing when to ship versus iterate.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level