Qorvo is looking to solve complex technical challenges in the semiconductor industry, specifically in the areas of consumer electronics, smart home/IoT, automotive, EVs, battery-powered appliances, network infrastructure, healthcare, and aerospace/defense.
Requirements
- Analog/RF circuit design coursework and/or experience. Understanding of power amplifiers/LNAs and their critical performance indicators preferred.
- Knowledge of common statistical techniques (CPK, SPC, ANOVA)
- Experience with RF measurement equipment such as spectrum analyzers and network analyzers is preferred
- Coding coursework and/or experience, preferably with Python and Spark SQL
- Basic understanding of Machine Learning techniques for analysis of complex datasets
Responsibilities
- Developing innovative techniques to identify yield improvement opportunities in the manufacturing of advanced RFIC products.
- Conducting data analysis/mining/extraction utilizing statistical methods and related software tool.
- Developing data analysis routines in Python using AI and Machine Learning approaches.
- Interfacing with Design, Manufacturing, Test, Applications, Project Management, and Quality Engineering teams to validate your results and conclusions.
Other
- Currently pursuing a BS, MS, or PhD in Electrical Engineering or a dual degree in Electrical Engineering and Computer Science
- Minimum GPA of 3.0
- Detail oriented to ensure design and delivery of high yielding products
- Self-starter with strong written and verbal communication skills to convey complex technical information
- This position is not eligible for visa sponsorship by the Company.
