We are looking for a creative and motivated Software Engineer to join our Product Systems Quality team, focusing on ensuring the highest quality for Mac and Home products. This role involves building large automated frameworks to gather extensive test data and developing next-generation automation tools that leverage artificial intelligence and machine learning. You will work cross-functionally with various engineering and QA teams to identify risks and support engineering investigations. The position balances the development of new stability test coverage with the maintenance of existing automation processes.

• Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering
• 2 years of experience involving machine learning algorithms and their practical applications
• Hands-on programming experience with Python
• Exposure to one or more ML frameworks such as PyTorch, TensorFlow, or JAX
• Familiarity with software engineering fundamentals including version control, testing, and debugging
• Strong problem-solving skills and ability to work in a cross-disciplinary team environment
• Excellent written and verbal communication skills
• Experience with hardware/software validation, integration, or testing methodologies
• Background in data science, machine learning, computer vision, or statistical data analysis
• Exposure to CoreML, Swift, or iOS/macOS development through coursework or projects
• Familiarity with data analysis and visualization tools such as Tableau or Superset
• Project or research experience applying ML to anomaly detection, predictive maintenance, or test optimization

• Develop key new areas of Mac and Home stability test coverage enhanced by machine learning capabilities
• Build and maintain large automated frameworks for stability testing
• Plan, design, and write code for system stability automation focusing on hardware-centric software risks
• Collaborate with engineering and QA teams to identify risk areas and testing responses
• Support engineering investigations related to system stability
• Balance the day-to-day operations of existing automation that runs on thousands of units daily

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.