About The Position

We're seeking a creative and motivated Software Engineer to join our Product Systems Quality team, working to ensure world-changing Mac and Home products are delivered at the highest quality to all our customers! To achieve this, it requires building large automated frameworks to gather thousands of hours of test data weekly, and we need people like you to help us build and maintain our tools for critical stability testing of Mac and Home products. You'll plan, design and write code for system stability automation with an emphasis on hardware-centric software risks simultaneously run on a large number of systems. You will be at the nexus of hardware and software where you work cross-functionally with several engineering and QA 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 customers. Come join our team! As a Software Engineer you will be responsible for the development of key new areas of Mac and Home stability test coverage enhanced by machine learning capabilities while also balancing the day-to-day operations of existing automation that runs on thousands of units daily.

Requirements

  • Strong verbal and written communication skills.
  • Academic background in data science, machine learning, computer vision, and statistical data analysis.
  • Experience in data analysis and developing data visualizations & reporting with tools such as Tableau or Superset.
  • Experience applying ML to anomaly detection, predictive maintenance, or test optimization.

Responsibilities

  • Develop key new areas of Mac and Home stability test coverage enhanced by machine learning capabilities.
  • Build large automated frameworks to gather thousands of hours of test data weekly.
  • Plan, design, and write code for system stability automation with an emphasis on hardware-centric software risks.
  • Work cross-functionally with several engineering and QA teams to identify risk areas and testing responses.
  • Support engineering investigations.

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What This Job Offers

Career Level

Entry Level

Industry

Computer and Electronic Product Manufacturing

Education Level

Bachelor's degree

Number of Employees

5,001-10,000 employees

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