Apple is seeking a Software Engineer to join their Product Systems Quality team to ensure the highest quality of Mac and Home products by building large automated frameworks for stability testing, leveraging AI and ML to predict and prevent system failures.
Requirements
- Solid understanding of machine learning algorithms and their practical application
- Knowledge of hardware/software validation, hardware/software integration, or testing methodologies
- Strong programming skills and hands-on experience with Python
- Experience with CoreML, Swift, and iOS/macOS machine learning development
- Experience with relevant ML frameworks (PyTorch, TensorFlow, or JAX)
- Experience building robust and scalable tools, frameworks and automation systems
Responsibilities
- Design and implement on-the-fly automated stress and stability hardware-centric software tests for embedded systems
- Design and implement ML-powered test automation frameworks and validation tools
- Write and update problem reports enhanced with ML analysis that explains issues, predicts root causes, and provides data-driven recommendations for fixes
- Analyze large volumes of validation/test data and build predictive models to detect issues early
- Ensure scalability, reliability, and maintainability of systems in production environments
- Work with cross-functional teams to help collect and define requirements for AI-enhanced tools, automation, and intelligent reporting systems
Other
- Bachelors degree in CS/CE/EE and a minimum of 5 years relevant industry experience
- Strong problem-solving skills and ability to work in a cross-disciplinary team environment
- Excellent written and verbal communication skills
- Thrive in uncertain, rapid project schedules, being able to quickly shift priorities, maximize testing time, and deploy AI solutions that adapt to changing requirements
- Provide training on a regular basis and mentor others as needed
