Qorvo (Nasdaq: QRVO) supplies innovative semiconductor solutions that make a better world possible. We combine product and technology leadership, systems-level expertise and global manufacturing scale to quickly solve our customers' most complex technical challenges. Qorvo serves diverse high-growth segments of large global markets, including consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare and aerospace/defense. Visit www.qorvo.com
to learn how our diverse and innovative team is helping connect, protect and power our planet.
Summary:
The Qorvo Acoustic RandD team is looking for a process engineer specializing in physical characterization and metrology to support next generation surface acoustic wave device development. The candidate will be responsible for multiple metrology areas for characterizing acoustic devices including automated optical inspection (AOI), XRD, XRF, ellipsometry and profilometry
Responsibilities:
Ownership of metrology development for BAW/SAW research and manufacturing
Recipe development, defect identification and classification for automated optical inspection (AOI) systems
Development of recipes and analysis of data for XRD, XRF, ellipsometry and other in-line measurement techniques
Design of metrology controls and implementation for new technologies to ensure performance and quality of product in high volume manufacturing environment
Collaboration with BAW/SAW integration engineers to meet project needs and implement innovative solutions to technical challenges
Technical problem solving individually and in a team environment
Metrology implementation from development into high volume manufacturing executing project goals and managing risk through key milestone
Implementation of process monitoring, controls and metrics for high volume manufacturing processes
Qualifications:
PhD in Electrical Engineering, Material Science, Physics or equivalent
Experience in semiconductor research or manufacturing desirable, but not required. Recent college graduates welcome to apply
Direct experience with automated optical inspection highly desirable
Experience in automated defect classification and/or machine learning for visual defect binning desirable
Experience with statistical process control (SPC) and design of experiments (DoE)
Strong communication, presentation and collaboration skills required
Demonstrated problem-solving methods and experience
Experience with data analysis tools and techniques such as Matlab, Python, Spotfire or similar software packages
Scripting/programming experience preferred; SQL queries, data analysis scripting
Must be proficient in MS Excel, PowerPoint and windows-based software
This position is not eligible for visa sponsorship by the Company.
