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 multiple 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 to learn how our innovative team is helping connect, protect and power our planet.
DUTIES: Drive and own all major Product Engineering analyses and deliverables during the New Product Development cycle. Practice continuous improvement and yield optimization by tracking wafer foundry parameters, uncovering correlations and troubleshooting process and equipment issues. This include performing detailed analysis of data sets to identify key parameters needing improvement or establish product capability as well as setting up statistical process controls to include generating code to automate tasks with large data sets or complex analysis; commercial software such as JMP or Spotfire, along with Python or other similar object oriented, procedural and/or functional programming languages; providing detailed analyses for each major design revision during the prototype phase of development, identifying key parameters needing improvement and communicating these to the core development team; driving the development of production RF/DC electrical test plans of silicon wafers and packaged devices on Automatic test equipment; supporting Test Engineering activities to debug, validate, and release production test hardware/software in C# and C programming languages; generating Yield Plans that provide a roadmap for improving manufacturing efficiency in order to optimize cost models and meet yield targets. Also, responsibilities will employ appropriate Statistical Process Control (SPC) principles to reduce variability in product performance as well as to detect and remove outlier material to maximize product quality. Develop test plans for prototype and production electrical testing of wafers and packaged devices to ensure effective test coverage and Data Sheet compliance while optimizing test time. Compile and analyze data using common statistical techniques (time-series analysis, CPK, DOE, SPC, ANOVA) and effectively present key results along with recommended actions.Hybrid Work Schedule: 3 days in the office and 2 days work from home within reasonable commuting distance from the office.
MINIMUM REQUIREMENTS: Bachelor's degree in Electrical Engineering or related field and 5 years of experience to involve: (1) performing detailed analysis of data sets to identify key parameters needing improvement or establish product capability as well as setting up statistical process controls to include generating code to automate tasks with large data sets or complex analysis; (2) commercial software such as JMP or Spotfire, along with Python or other similar object oriented, procedural and/or functional programming languages; (3) providing detailed analyses for each major design revision during the prototype phase of development, identifying key parameters needing improvement and communicating these to the core development team; (4) driving the development of production RF/DC electrical test plans of silicon wafers and packaged devices on Automatic test equipment; (5) supporting Test Engineering activities to debug, validate, and release production test hardware/software in C# and C programming languages; (6) generating Yield Plans that provide a roadmap for improving manufacturing efficiency in order to optimize cost models and meet yield targets.Hybrid Work Schedule: 3 days in the office and 2 days work from home within reasonable commuting distance from the office.
ALTERNATIVE REQUIREMENTS: In lieu of a Bachelor's degree, employer will accept a Master's degree in Electrical Engineering or related field and 2 years of work experience. Also, 1-year exp. stated herein to involve: (1) performing detailed analysis of data sets to identify key parameters needing improvement or establish product capability as well as setting up statistical process controls to include generating code to automate tasks with large data sets or complex analysis; (2) commercial software such as JMP or Spotfire, along with Python or other similar object oriented, procedural and/or functional programming languages; (3) providing detailed analyses for each major design revision during the prototype phase of development, identifying key parameters needing improvement and communicating these to the core development team; (4) driving the development of production RF/DC electrical test plans of silicon wafers and packaged devices on Automatic test equipment; (5) supporting Test Engineering activities to debug, validate, and release production test hardware/software in C# and C programming languages; (6) generating Yield Plans that provide a roadmap for improving manufacturing efficiency in order to optimize cost models and meet yield targets.Hybrid Work Schedule: 3 days in the office and 2 days work from home within reasonable commuting distance from the office.
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) employer and welcome all qualified applicants. Applicants will receive fair and impartial consideration without regard to any characteristics protected by applicable law, including race, color, religion, sex (as defined by law), national origin, age, military or veteran status, genetic information, or disability.
Qorvo is an E-Verify Employer. For more information, please see the Right to Work and E-Verify Participation posters.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 80183416
- Position Id: 9826d955234e7376b702e7c51448f725
- Posted 20 hours ago
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