Software Development Engineer, Test Tooling

At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, Stocks and MLS Season Pass etc.

Everything we do is designed for trust, connection, and impact

We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone!

Join our System Integration Testing team, which validates the revenue-generating scenarios and critical user flows across the Apple Ads platform. As a Tooling Engineer, you'll help develop tooling and automation to our testing faster and more reliable. That includes test data setup utilities, failure analysis tools, reporting dashboards, and AI agent workflows.

You'll also work on test automation and end-to-end validation, so you understand the problems your tools solve. You'll be mentored by experienced engineers and get hands-on experience with real production systems.

Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field Strong coding in Swift, Python, and Java for test automation Experience applying AI/ML concepts to build robust tools for automated testing, debugging assistance, or code generation, significantly boosting developer velocity.

Ability to stay updated on emerging technologies like AI/ML, Model Context Protocol (MCP) and Agentic AI implementations and applying that to build tools that make tests smarter.

Basic understanding of REST APIs, SQL, and data handling (JSON, CSV) Familiarity with Git and basic software development workflows Strong problem-solving skills and curiosity about how systems work Clear communication and a willingness to ask questions and learn

Experience building with LLMs, AI agents, or Model Context Protocol (MCP) Experience building CLIs, web dashboards, or reporting tools (e.g., Flask, FastAPI, or simple front-end work) Exposure to test automation frameworks such as XCTest/XCUITest, Selenium, Playwright, Cypress, or Appium Familiarity with CI/CD, cloud platforms (AWS or GCP), or containerization Interest in advertising, video streaming, or cross-platform testing across web, mobile, and TV