Advanced Manufacturing Engineer

Apple•Cupertino, CA

15h•Hybrid

About The Position

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do. Work cross-functionally to aggregate product and supply chain changes and provide technical direction to SI and CM counterparts to enable successful Apple prototype product production. Mentor and coach SI counterparts on machine design practices to enable successful production. Qualify and perform the Troubleshooting of Machine, Measurement, or Assembly Automation. Develop qualification plans and procedures to ensure complex automation is performing to specification. Troubleshoot product, process, and machine issues to determine the root cause and corrective action required. Creating Machine, Measurement, or Assembly Automation Requirements to Design Product Manufacturing Process. Collaborate with product design partners to understand product level requirements, influence design for manufacturability, and design machine requirements accordingly. Perform Return on Investment (ROI) analysis on enhanced machine features to determine ideal investment. Analyze complex datasets from automation machines and report their findings to initiate the correct cross-functional actions. International travel required 30%. 40 hours/week.

Requirements

Bachelor’s degree or foreign equivalent in Biomedical Engineering, Industrial Engineering, Industrial Engineering Technologies, or a related field and 3 years of experience in the job offered or related occupation.
2 years of experience with Utilizing NX to evaluate product design features and their interaction with assembly tools.
2 years of experience with Leveraging JMP for complex data analysis spanning >100k data point.
2 years of experience with Performing statistical modeling to determine correlation between inputs and outputs.
2 years of experience with Applying mechanical design knowledge and consumer electronic manufacturing experience to emerging product designs.
2 years of experience with Foreseeing issues with assembly and recommending product changes to enable ease of assembly.
2 years of experience with Designing machine vision algorithms & hardware scenes enabling precision feature capture in single µm level enabling core product features.
2 years of experience with Leveraging data visualization tools to monitor production line performance globally and identify areas of improvement.
2 years of experience with Utilizing object-oriented programming to coach machine builders into proper code structure on automation machines.
2 years of experience with Leveraging ISO and NFPA standards to design safe automation.
2 years of experience with Utilizing DOE knowledge and data analytic tools to design multi-factorial DOEs, execute, and analyze results to guide design decisions.
2 years of experience with Leveraging GD&T tools to understand tolerance analysis and specifications required enabling complex assemblies through automated machines

Responsibilities

Work cross-functionally to aggregate product and supply chain changes and provide technical direction to SI and CM counterparts to enable successful Apple prototype product production.
Mentor and coach SI counterparts on machine design practices to enable successful production.
Qualify and perform the Troubleshooting of Machine, Measurement, or Assembly Automation.
Develop qualification plans and procedures to ensure complex automation is performing to specification.
Troubleshoot product, process, and machine issues to determine the root cause and corrective action required.
Creating Machine, Measurement, or Assembly Automation Requirements to Design Product Manufacturing Process.
Collaborate with product design partners to understand product level requirements, influence design for manufacturability, and design machine requirements accordingly.
Perform Return on Investment (ROI) analysis on enhanced machine features to determine ideal investment.
Analyze complex datasets from automation machines and report their findings to initiate the correct cross-functional actions.