Description
The Audio Product System Quality team is hiring a Software Engineer in Test to develop automated functional, stability, and performance testing for embedded audio products such as AirPods and AirPods Pro. The role focuses on hardware- and firmware-centric risks, building and maintaining large-scale test automation, contributing machine-learning-powered validation tools, analyzing test data, and supporting engineering investigations. Candidates need a bachelor's degree in a relevant engineering or computer science field, three years of machine-learning experience, embedded-systems testing experience, Python programming, and software-engineering fundamentals.
