Advanced Manufacturing Engineer

Open 34d posting dated 4 days ago

Referral available at Apple

An employee here can refer you. The referrer stays anonymous and reaches out to you directly if interested.

Summary

Designs and scales precision assembly and measurement processes for Apple products, leading automation technology R&D and collaborating with global manufacturing teams.

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.

Minimum Qualifications

  • Bachelor's or higher degree in Mechanical Engineering or relevant engineering fields
  • Minimum 3 years experience in automation equipment design, machine qualifications (DFM review), and advanced manufacturing process
  • Strong written and verbal communication skills in English, with the ability to work effectively in a global environment and operate independently under pressure

Preferred Qualifications

  • Knowledge of pneumatics, servo motors, robotics (4/6-axis), glue/adhesive dispensing, AOI/CCD (vision/laser), pick-and-place, PLCs, and PC-based control systems is a plus
  • 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
  • Proficiency in tolerance analysis for parts and assemblies
  • NX CAD experience is a plus
  • Vietnamese and Mandarin language skills are highly preferred