Process Engineer, Acoustic R&D
Richardson, TX, US, 75081
Qorvo
Qorvo’s diverse and innovative team creates semiconductor solutions that help connect, protect and power the planet.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 R&D 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
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This position is not eligible for visa sponsorship by the Company.
MAKE A DIFFERENCE AT QORVO
We are Qorvo. We do more than create innovative RF and Power solutions for the mobile, defense and infrastructure markets – we are a place to innovate and shape the future of wireless communications. It starts with our employees. As a unified global team, we bring a commitment to excellence, growth and a passion for creating what's next. Explore the possibilities with us.
We are an Equal Employment Opportunity (EEO) / Affirmative Action employer and welcome all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, military or veteran status, physical or mental disability, genetic information, and/or any other status protected by law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Classification Data analysis Engineering Excel Machine Learning Matlab PhD Physics Python R R&D Research Spotfire SQL Statistics
Perks/benefits: Career development Startup environment
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