BAW Development Co-op: Modeling & Analysis (Irvine)

Skyworks Solutions, Inc.; Irvine (CA); On-site; USD 40,000 - 68,000; Full time

Job summary

Skyworks Solutions, Inc. is seeking a Winter/Spring Co-Op in Irvine to contribute to piezoelectric bulk acoustic resonator (BAW) technology development.

You will participate in device modeling, characterization and EDA support within a cross-functional engineering team, with opportunities to collaborate across modeling, process, testing and layout disciplines. The role emphasizes FEM modeling, data analysis and the application of physics-based/data-driven approaches to improve BAW devices.

Qualifications

• Must be a current student pursuing a PhD in engineering.
• Must be available to work full-time and on-site in Irvine, CA.
• Proficiency with FEM tools such as COMSOL.
• Experience with scientific programming using MATLAB and/or Python.
• Ability to process, cleanse and validate data for analysis and experiments.
• Familiarity with statistics, machine learning techniques and optimization.
• Basic knowledge of solid mechanics or acoustic waves; knowledge in BAW or RF MEMS resonators is a plus.

Responsibilities

• Construct FEM and circuit models in collaboration with device modeling and circuit design engineers.
• Analyze on-wafer device statistics of key device parameters.
• Propose new ways to design state-of-the-art BAW devices based on physics-based and data-driven models.

Skills

Data analysis

MATLAB/Python programming

Statistics / ML basics

Solid mechanics intuition

Education

PhD in Engineering

Tools

COMSOL

Job description

Skyworks Solutions, Inc. is seeking a Winter/Spring Co-Op in Irvine to contribute to piezoelectric bulk acoustic resonator (BAW) technology development.

You will participate in device modeling, characterization and EDA support within a cross-functional engineering team, with opportunities to collaborate across modeling, process, testing and layout disciplines. The role emphasizes FEM modeling, data analysis and the application of physics-based/data-driven approaches to improve BAW devices.