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Apple Advanced Manufacturing Engineer United States, California, Cupertino 463080504
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Minimum Qualifications
- Master’s degree or foreign equivalent in Mechanical Engineering, Robotic Engineering or related field and 5 years of experience in the job offered or related occupation.
- 5 years of experience with each of the following skills is required:
- Specifying data collection needs and analyzing data from a production environment to drive improvements in the production process.
- 4 years of experience with each of the following skills is required:
- Structured programming experience to perform data analysis, engineering analysis, and task automation.
- 2 years of experience with each of the following skills is required:
- Specifying machine vision hardware, including cameras, lenses, and lighting, in a production environment to enable optical inspection.
- Applying Machine Learning to vision-related tasks (e.g., object detection) in a production setting with personal engagement in model development, training, and inference using Tensorflow or PyTorch.
- Using Python for data analysis, task automation, computer vision and machine learning.
- Performing automation control with PLC/IPC in a production facility to support troubleshooting and development activities on automated manufacturing equipment.
- Performing manufacturing process control by designing or specifying control systems in automated equipment supporting a manufacturing environment.
- Working with commercial Machine Vision software and hardware vendors in a production setting to understand the availability and limitations of off-the-shelf solutions.
- Leveraging open-source vision libraries such as OpenCV to implement custom Machine Vision code.
- Using Principles of Machine Vision to perform integrated quality judgement or measurement in automated equipment used for industrial production.
Preferred Qualifications
Additional Requirements
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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