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.
Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering
3 years experience involving machine learning algorithms and their practical applications
Professional work experience testing embedded systems
Hands-on programming experience with Python
Familiarity with software engineering fundamentals (version control, testing, debugging)
Strong problem-solving skills and ability to work in a cross-disciplinary team environment
Excellent written and verbal communication skills
Experience with hardware/firmware/software validation, hardware/firmware/software integration, or testing methodologies
Experience with Claude code or other AI tools, MCPs and skills
Background in data science, machine learning, computer vision, or statistical data analysis
Knowledge of real-time audio or Bluetooth technologies
Familiarity with data analysis and visualization tools such as Tableau or Superset