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.

DESCRIPTION

You will design and oversee critical CNC processes and equipment used to produce our products. In this highly visible role, you’ll collaborate closely with Product Design, Industrial Design, Manufacturing Design, and global suppliers. Your responsibilities include ensuring optimal design for CNC manufacturing such as milling, turning, and multi-axis machining. You’ll utilize data, hands-on development, and testing to guide decisions regarding equipment selection, tooling, cutting strategies, CAM software, and more. At Apple’s scale, your contributions will have substantial global impacts.

MINIMUM QUALIFICATIONS

• 3+ years hands-on CNC machining experience (ability to operate machines)
• Experience with machining, cutting-tool selection and fixture design
• Proficiency with CAD / CAM
• Ability to design manufacturing processes from concept to implementation and provide feedback to designers
• BS, MS, or PhD in Mechanical, Manufacturing, Industrial Engineering, or related field
• Willingness to travel domestically and internationally (~25%)

PREFERRED QUALIFICATIONS

• High Volume Manufacturing experience, particularly with high-cosmetic parts
• Siemens NX CAD/CAM
• CNC Machine Maintenance and repair
• Experience in statistical analysis and process control
• FEA Project experience
• Programming experience in Python, C/C++, JavaScript, or similar languages
• Familiarity with machine learning and deep learning applications in manufacturing

Please refer the Job description for details