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Apple Display MPE 
China, Jiangsu, Suzhou City 
482472249

Yesterday
- Review and follow up on design of the product and engineering drawing to reflect the design intent of display component and module;- Define and develop assembly tool of fixture or equipment through the application of theoretical and practical engineering to complete product design and feature;- Set and perform standard procedure to qualify the process;- Optimize the key parameter of assembly Equipment/tool through DOE (design of experiment) and statistic to fulfill product spec;- Set process control point or parameter which is relevant to quality for process to ensure no process issue in manufacturing line and reliability test;- Review assembly SOP to ensure critical assembly procedure is included;- Conduct failure analysis in production line and drive the solution and validation happened;- Lead supplier production line qualification, provide short-term, long-term corrective actions for any process/equipment issues and drive improvements back into whole supply chain for process and design;- Drive vendor to improve line output UPH and process cycle time to meet ramp curve;- Drive FAI/Cpk data collection, verify the data integrity and work with PD/ME on disposition and final spec lockdown;- Develop metrology for complicated parts' measurement, design gauges and measurement fixtures, AOI and drive their qualifications.
  • - BS or equivalent experience in Mechanical, Automation or Material science, or Electrical and Engineering background with more than 3~5 years in Process or Manufacturing.
  • - Hands-on experience and good understanding on: assembly SOP definition and review, assembly fixture development and qualification;
  • - Auto manufacturing equipment design and qualification, DFM review and come out improvement plan;
  • - Good understanding on Key process parameter optimization via DOE. (Design, perform DOE and review data);
  • - Strong Statistical Data Analysis, SPC basic knowledge, OOC/OOS control rule, FA skill and drawing interpretation;
  • - Basic knowledge of Metrology Development and tool.
  • - Knowledge of geometric, dimensioning and tolerancing, tolerance stack-up analysis.
  • - DFMEA & PFMEA knowledge and experience is preferred.
  • - Equipment or process DRI relate project management experience would be good to have;
  • - LCD/OLED display knowledge and manufacturing process experience is preferred;
  • - Knowledge on Artificial Intelligence / Machine Learning, Data Science and Smart Manufacturing is a plus;
  • - Programming and hands on measurement is a plus (CMM, OMM, Laser, CCD, X-rays Etc);
  • - Proficient in written and verbal English.