Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Sep 8, 2026. Apple scores A on the Alion truth index.
At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on state-of-the-art technologies to surprise and delight creative pros and enthusiasts alike. You’ll be working with the world-class teams behind Final Cut Pro, Logic Pro, iMovie, and GarageBand to create next-generation tools for creators!
Description
We're looking for a Performance Tooling Engineer to own the tooling and automated tests that keep our products fast, efficient, and correct. Your mission is to catch regressions before they ship, across latency, memory, power/thermals and functionality, by building the test harnesses, benchmarks, and CI infrastructure that make regressions visible, reproducible, and actionable.
The systems you build will run continuously across our device fleet and become the safety net our engineering team relies on. If you enjoy turning "it feels slower" into a hard number on a dashboard with a bisected culprit commit, this is for you.
Minimum Qualifications
Very strong problem-solving and coding skills.
Excellent written and verbal communication skills.
Experience building and maintaining CI systems.
Solid understanding of performance measurement fundamentals: how to benchmark reliably, control for noise, and reason about latency, memory, and power/thermal metrics.
Experience writing automated tests and the tooling/frameworks around them.
Proven track record of integrating AI tools to enhance both personal productivity and team workflows.
Preferred Qualifications
Experience developing for Apple platforms (iOS/macOS), with working knowledge of Swift.
Familiarity with the Apple development toolchain: Xcode, Instruments, and related profiling and testing.
Experience with GPU programming and image processing systems (Metal, OpenCL, CUDA or similar).
Experience with regression testing across many hardware devices, e.g., device labs, device farms, or fleet-based test automation.

