Software Engineer Test and Validation

Do you want to make a positive impact on the direction of new key technologies in consumer products while pioneering the future of intelligent quality assurancennWe are the Audio Product System Quality team and we are seeking a creative and motivated Software Engineer in Test to join our team for advanced audio products like AirPods/AirPods Pro/AirPods Max! You will be a key part of the hardware/software development process and have the opportunity to work closely with firmware/software/hardware teams while we deliver the best audio experience for our customers. To achieve this it requires building large automated frameworks to gather thousands of iterations of test data weekly and we need people like you to help us build and maintain our tools for critical functional stability and performance testing of AirPods products. nnYoull plan design and write code for system automation with an emphasis on hardware and firmware-centric risks across a number of devices. You will be at the nexus of hardware firmware and software where you work cross-functionally with multiple engineering and QA/QE teams to identify risk areas and testing responses and to support engineering investigations. We expect artificial intelligence and machine learning to be at the core of the work developing next-generation automation tools that predict prevent and optimize critical system failures before they impact join our team!

As a Software Engineer in Test you will be responsible for the development of key new areas for AirPods functional stability and performance test coverage enhanced by machine learning capabilities while also balancing the day-to-day operations of existing automation that runs thousands of iterations daily.

Help design and implement automated stress performance and stability tests for embedded systems with hardware and firmware-centric focusnContribute to ML-powered test automation frameworks and validation toolsnAnalyze validation/test data and help build predictive models that detect issues earlynWrite and update problem reports including ML-assisted analysis of failures and root causesnCollaborate with cross-functional engineering and QA teams to learn the broader testing landscape and identify automation opportunitiesnAdapt to rapid project schedules and shifting priorities common in new-product development

Bachelors degree in Computer Science Computer Engineering or Electrical Engineeringn2 years experience involving machine learning algorithms and their practical applicationsnProfessional work experience testing embedded systemsnHands-on programming experience with PythonnFamiliarity with software engineering fundamentals (version control testing debugging)nStrong problem-solving skills and ability to work in a cross-disciplinary team environmentnExcellent written and verbal communication skills

Experience with hardware/firmware/software validation hardware/firmware/software integration or testing methodologiesnExperience with Claude code or other AI tools MCPs and skillsnBackground in data science machine learning computer vision or statistical data analysisnKnowledge of real-time audio or Bluetooth technologiesnFamiliarity with data analysis and visualization tools such as Tableau or Superset