Subject Matter Expert - Automation & AI/ML

Imagine what you could do here. At Apple, creative ideas have a way of becoming wonderful products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it!

Description

In this role, you will lead the physical and digital automation of next-generation manufacturing processes for Apple’s world-class enclosure designs, focusing specifically on PVD coatings. You will drive the deployment of advanced robotics and equipment hardware while leveraging massive data sets to train AI and machine learning models that detect defects, predict maintenance, and optimize production yields.

Minimum Qualifications

BS/MS in Engineering (Automation, Mechatronics, Robotics, Computer Science, or equivalent cross-disciplinary degree).

5+ years of professional experience working on automation, robotics, and data-driven applications in a high-volume manufacturing environment.

Physical & Digital Automation Experience: Hands-on proficiency programming six-axis robots or major PLCs/IPCs, combined with coding experience (Python, C++, Matlab) to deploy machine learning and vision solutions on the factory floor.

PVD & Failure Analysis Experience: Familiarity with surface treatments (e.g., PVD, CVD) combined with the proven ability to conduct root-cause failure analysis on manufacturing defects to drive actionable automation improvements.

Verbal and written English proficiency.

Preferred Qualifications

Advanced statistical analysis skills and design/process optimization using DOE, Cpk, correlation, and GR&R (familiarity with JMP, Minitab, or Matlab).

Cross-disciplinary knowledge in Materials Science, Physics, or Chemistry to effectively collaborate with Ink and PVD material SMEs.

PVD Process and Hardware Expertise: Deep understanding of PVD chamber hardware design, modification, and maintenance, coupled with a strong track record of optimizing PVD process recipes for advanced cosmetic or functional coatings.

FA Capabilities: Experience utilizing advanced measurement and characterization technologies (SEM, TEM, EDX, optical simulation software like Macleod, TFCALC) to drive complex root cause analysis and predictive quality modeling.

Proficiency with CAD to review and design mechanical components/fixtures and create proper engineering part drawings using GD&T practices.

Ability to program-manage across multiple projects, vendors, and resources globally.

Frequent domestic and some overseas travel expected.