MEMS Process Engineer

Founded in 1991, Silicon Microstructures, Inc. is a world leader in the design and manufacture of Micro Electro-Mechanical Systems ("MEMS") that lie at the heart of the advanced sensing market, enabling devices in the medical, industrial, digital consumer, security, and automotive sectors. The company has established itself as a premier provider of MEMS-based pressure sensors for a range of markets, supplying advanced high and low-pressure sensor products that meet the stringent requirements for medical, industry and consumer safety. Silicon Microstructures’ design, production and quality control processes have enabled it to develop both the smallest and smartest pressure sensors available today. SMI offers a wide range of pressure sensors, including uncompensated sensors, temperature compensated and calibrated products as well as sensors systems consisting of an ASIC paired with a sensor die in a custom package. Job Description The Back End Process Engineer will drive yield improvements and implement more automation in the back end manufacturing processes at SMI. The responsibilities include sustaining and improvement of wafer probing, wafer dicing, automated optical inspection (AOI), wafer mapping, and automated die pick and place processes. The engineer will work in collaboration with the production and R&D team to develop high yielding products with great deal of attention to develop processes optimized for automation and manufacturability. The engineer will play an active role in quality improvement in the framework of SMI’s IATF16949 quality management system. Essential Functions Drive yield improvements through advanced automated wafer inspection Manage electronic wafer map handling with database communications Sustain and improve wafer probing / wafer dicing Optimize processes by running DOEs and use of SPC to improve yield Participate in successful Continuous Improvement Programs (CIP) to improve cost and manufacturability Support the development of new processes in collaboration with R&D to enable new technologies / products Lead and support capital equipment projects including qualification and tool release to production Analyze and verify data for disposition non-conforming material Define containment, corrective and preventive actions for process failures Responsible for process stability of equipment and documentation for assigned production module Document and present process changes and experimental results to process review board Train Operators and solicit feedback to optimize manufacturability Create and update product documentation as needed Qualifications MS degree in Electrical Engineering is required Minimum of 5 years of work experience with automated vision systems Candidates with substantial university lab experience would count as work experience Knowledge of wafer test, inspection and wafer mapping Programming skills in Visual Basic and Labview Experience with Database integration Position requires candidate to spend majority of working hours in the clean room environment Experienced with problem solving and good time management skills Knowledge of MS Office (Access, Excel, Word, Power point) and Statistical software tools Excellent communication and interpersonal skills Self-Starter, self-motivated with the ability to work effectively in a team environment Additional Desired Skills and Experience 2 - 3 years of work experience in MEMS/ Semiconductor wafer fab Experienced with release of products, procedures, yield management and SPC Labview skill to develop new programs Python skills including ability to modify existing or write new Python programs Previous experience with wafer probing and test automation is desired Experience with STDF test data format Experience with general wafer mapping formats such as Klarf, XML wafer maps and map conversion Working knowledge of DOE, ANOVA, SPC in production environment Knowledge of standard metrology equipment used in semiconductor/MEMS fabrication Knowledge of ISO9001 or TS16949 quality systems Additional Information All your information will be kept confidential according to EEO guidelines. #J-18808-Ljbffr