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Job Details

Senior Engineer MEMS Process

Company name
Audience

Location
Itasca, IL, United States

Employment Type
Full-Time

Industry
Engineering, Manufacturing

Posted on
Jul 18,2019

Valid Through
Oct 31,2019

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JOB DESCRIPTION Title: Senior Engineer, MEMS ProcessDepartment: MEMS EngineeringLocation: Itasca, Illinois COMPANY DESCRIPTION:Knowles Corporation (NYSE: KN) is a market leader and global supplier of advanced micro-acoustic, audio processing, and precision device solutions, serving the mobile consumer electronics, communications, medical, military, aerospace, and industrial markets. Knowles uses its leading position in MEMS (micro-electro-mechanical systems) microphones and strong capabilities in audio processing technologies to optimize audio systems and improve the user experience in mobile, ear, and IoT applications. Knowles is also the leader in acoustics components used in hearing aids and has a strong position in high-end capacitors. Knowles’ focus on the customer, combined with unique technology, proprietary manufacturing techniques, rigorous testing and global scale, enables it to deliver innovative solutions that optimize the user experience. Founded in 1946 and headquartered in Itasca, Illinois, Knowles is a global organization with employees in 11 countries. For more information, visit knowles.com.  As a Knowles team member, you are encouraged to challenge the status quo and see possibility in unexpected places.  Because of our entrepreneurial culture, the only limit is your imagination.  If you thrive in an agile, fast-paced and collaborative environment, you will fit right in.  If you are driven by constantly redefining the gold standard of products and services that help customers, you will be a valuable member of Knowles.  Let’s move ideas from concept to reality together. SUMMARY DESCRIPTION:Knowles seeks a motivated and creative individual to work in a fast-paced, market-oriented R&D team environment, developing MEMS technology for microphones and related mobile platform applications. A strong preference will be given to individuals with experience in MEMS process integration/process transfer and characterization of MEMS devices. Individuals will also be expected to have an expertise in data mining, statistical analysis, machine algorithms, failure prediction, DOE setup, developing data models, predictive modeling algorithms and acoustic systems. Candidate will be expected to offer creative insights and solutions for R&D and production problems, to characterize and design MEMS process windows, to help execute and analyze statistical designed experiments and to carry out written and oral reporting. SPECIFIC DUTIES AND RESPONSIBILITIES:Interface with MEMS wafer foundry partners to execute on new product introductionsCreate and analyze statistically designed experiments to effectively evaluate process corners to identify major risks and ensure margin for high volume applicationsContribute ideas for new fabrication processes, and refinements to current and upcoming MEMS process flowsDevelop and implement techniques for gathering and analyzing large data sets to identify currently unknown relationships between in-line metrics and final device performanceInterpret and analyze data from various mechanical, electrical, acoustic and optical characterization procedures on in-line and completed MEMS components; contribute to the development of new characterization methods and proceduresWork independently and collaboratively; provide assistance on assignments with other engineers as neededLead development of predictive analytics techniques leveraging both repeatable patterns in data and discovering new patterns that reduce cost, increase performance, and improve reliability for microphonesAccess, analyze and transform large product performance and process data in the semiconductor/MEMS and electronic manufacturing environmentCollaborate with process and design engineering team to understand key data management and analytics opportunities and devise data-driven solutionsDefine data structures, evaluate data quality, and perform appropriate data analyses using software such as JMP, Minitab, R, Python and MATLAB POSITION REQUIREMENTS:Degree in Engineering or similar field (eg. Electrical Engineering, Chemical Engineering, Materials Science, Mechanical Engineering or Physics)5  years of MEMS or semiconductor process experience in volume applicationsProcess experience in chemical vapor deposition, deep RIE and wet chemical etchingStatistical analysis software experience such as JMP, SAS, MinitabA strong background in communication, negotiation, DOE setup, data analysis and reportingMEMS process integration and process transfer expertise, particularly in polysilicon/nitride systemsExperience with advanced data mining, predictive modeling algorithms, developing data models, reinforced, supervised and unsupervised learning methods, linear classifiers, Markov models, Bayesian networks and clustering techniquesCharacterization experience in optical microscopy, SEM, FIB, surface science analysis, interferometry, electrical testing, etc.Experience with unstructured & semi-structured data sources, requisite processing tools, electronics assembly flow and test processesKnowledgeablewith scripting languages; including python and JMP JSLEEO-M/F/D/VRevised: July 2019 

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