DFM Intern

Job Description

Summary

Posted: Nov 9, 2024 Weekly Hours: 40 Role Number: 200576272 Apple is a place where extraordinary people capture to do their best work. Just be ready to dream big. The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that encourages 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. Imaging 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. We are looking for DFM engineers to collaborate with multi-functional teams. The candidate will play an important role in the development of Apple products, Work with cross functional team to automated manual process, looking for opportunities for more effective manufacturing ; Develop/optimize software tools for data collection/ processing and visualization ;

Description

Description - Work on automation design & performance improvements, i.e., cycle time, down time, output, etc. - Develop/ optimize existing tool to connect, collect, processing, visualizing manufacturing data - Common standard processes' standardization & implementations (i.e., ML, AVI, etc.)

Minimum Qualifications

Minimum Qualifications

• BS degree or above, majoring in Materials Science, Mechanical/Automation Engineering;
• Good English communication (written & spoken) ;

Key Qualifications

Key Qualifications

Preferred Qualifications

Preferred Qualifications

• Strong willingness/interest to investigate into the details;
• Hardworking and dedicated in working on significant and unique issues where analysis of situation or data requires an evaluation of intangibles;
• Projects experiences will be plus.
• Experience in massive data analysis, coding and machine learning would be a plus.

Education & Experience

Education & Experience

Additional Requirements

Additional Requirements More