Advanced Manufacturing Engineer, Audio

Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary 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!
As an Advanced Manufacturing Engineer, you will design, develop, and scale precision assembly and measurement processes that directly shape the quality and reliability of Apple products. You'll lead the research and development of novel automation technologies, own complex engineering challenges from concept through high-volume production, and collaborate with cross-functional teams and global manufacturing partners to continuously raise the bar.
<h3>Minimum Qualifications</h3>Bachelor's or Master's degree in Mechanical, Electrical, Electronics, Computer, Industrial, or Manufacturing Engineering
3+ years of engineering experience with custom automation equipment used for precision alignment, assembly, and/or measurement
Hands-on knowledge of pneumatics, servo motors, robotics (6-axis and/or SCARA), CCD vision systems, adhesive dispensing, laser sensors, PLCs, and PC-based control systems
Hands-on automation experience in one or more of the following: automated adhesive dispensing, pick-and-place, robotics, AOI (vision/laser), active alignment, or automated fastening
Strong written and verbal communication skills in English, with the ability to work effectively in a global environment and operate independently under pressure
Willingness to travel domestically and internationally to contract manufacturer sites
<h3>Preferred Qualifications</h3>Proven experience with DOE, failure analysis, and statistical process control; ability to read and interpret engineering drawings including GD&T
Experience with JMP and Six Sigma methodologies; Python scripting for data analysis and automation is a plus
Familiarity with machine learning concepts and an understanding of how ML/AI can be leveraged for smart manufacturing applications
Self-starter with strong attention to detail, a collaborative mindset, and the ability to thrive in a matrixed organization
Proficiency in tolerance analysis for parts and assemblies
NX CAD experience is a plus
Mandarin language skills are a plus