Responsibilities
may include :
- 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.
Qualifications :
Currently pursuing a BS, MS, or PhD in Electrical Engineering or a dual degree in Electrical Engineering and Computer ScienceMinimum GPA of 3.0Analog / 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 preferredCoding coursework and / or experience, preferably with Python and Spark SQLBasic understanding of Machine Learning techniques for analysis of complex datasetsDetail oriented to ensure design and delivery of high yielding productsSelf-starter with strong written and verbal communication skills to convey complex technical informationThis position is not eligible for visa sponsorship by the Company.
Competitive hourly pay commensurate with experience : $31-$42 (subject to change dependent on physical location)
Posted salary ranges are made in good faith. Qorvo reserves the right to adjust ranges depending on the experience / qualification of the selected candidate as well as external competitiveness and internal comparability.
Base compensation is one element of Total Rewards offered at Qorvo. More information on the Total Rewards package can be shared upon request.