Job
Description
You will be a part of collaborative environment contributing to the creation, evaluation, and implementation of end-to-end manufacturing solutions for Apple s iPhone enclosures. You will collaborate closely with cross-functional stakeholders in Quality Engineering, Global Supply Management, Product Design, and Industrial Design in order to ensure our manufacturing solutions meet our product quality, cost, yield, capacity, schedule, and environmental goals. We expect the incumbent to: - Evaluate product and industrial design goals to understand the dimensional, cosmetic, and functional priorities for the product - Collaborate with Global Supply Managers and Apple s manufacturing suppliers to align on a manufacturing development strategy with clear goals, deliverables, and schedule - Identify and validate suitable fabrication equipment and processes to meet all Apple design and operational requirements - Develop and document processes, including all parameters, consumables, and secondary operation requirements to meet defined specifications - Conduct process optimization DOE s, using data-driven and hands-on approaches together to find solutions to complex challenges - Communicate ongoing process development status to cross-functional teams and lead discussions to align design requirements with manufacturing capability - Willingness to travel within India to support manufacturing partner sites and collaborate with in-region team members - Familiarity with a phase gate product development approach You may be asked to lead development in one or more of the following areas to help ensure that quality & yield requirements are met: - Glass Processing: Develop all processes for glass laser, grinding, lapping, polishing, chemical strengthening, decoration and functional coatings (with inks, and other thin film deposition techniques etc). - CNC machining: Develop all CNC milling and turning processes. Scope appropriate CNC equipment to be used, develop CNC fixtures, implement touch probing, lead the reduction of cycle time, development of advanced cutters and coatings, High Speed Machining implementation, support the programming and optimization of all CNC-related activities at contract manufacturers worldwide. Own yield improvement actions and process change decisions based on statistical process control (SPC) data analysis. - Surface Finishing: Develop new processes in the area of blasting, tumbling, polishing, robotics, wet sanding, lapping, plating, anodizing, and PVD in response to cosmetic, functional, and reliability targets. Minimum Qualifications Minimum Qualifications Bachelors or higher in mechanical, manufacturing, industrial engineering, or related fields 5+ years of experience in high-volume mechanical product development, manufacturing engineering, tooling engineering, high-precision fabrication, or similar roles Hands-on experience in the following expertise: glass processing, CNC, lathe, robotics, polishing, sandblasting, lapping, laser etching, laser welding, adhesive dispensing Understanding core principles of fixture and automation design, including the use of design software and FEA for stress/structural analysis Understanding core principles of Geometric Dimensioning and Tolerancing Understanding core principles of Data Analysis and Design of Experiments Key Qualifications Key Qualifications Preferred Qualifications Preferred Qualifications A quick learner who approaches problems flexibly and proactively identifies solutions in the face of challenges Strong ability to influence using clear and concise communication skills to make data-driven manufacturing decisions Strong abilities and background in materials characterization with hands-on troubling (understanding of analytical tools such as SEM / TEM / EDX / FTIR / XPS etc.) Ability to work independently with cross-functional teams and drive towards common goals. Ability to present technical analysis of manufacturing capability to diverse cross-functional team. A team player who is self-motivated, result oriented and detail driven. Knowledge in deep learning (DL) or statistical machine learning (ML) is preferred. Experience working with OEMs and Contract Manufacturers in the Consumer Electronics Industry is a plus Education & Experience Education & Experience Additional Requirements Additional Requirements More
