If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution.
Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time .
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking.
We value open communication, mutual trust, and respect. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.
Job Description
This position is a Winter / Spring Co-Op position from January to June 2025, based out of Irvine, CA. The candidate will participate in the key activities pertaining to the technology development of piezoelectric bulk acoustic resonators (BAW) including device modeling, characterization, and EDA support.
This will be a cross-functional role in a collaborative engineering team and the Co-Op will have the opportunity to work with modeling, process, testing, and layout engineers.
Job Responsibilities
- Construct FEM and circuit models in collaboration with other device modeling and circuit design engineers
- Analyze on-wafer device statistics of key device parameters
- Propose new ways to design the state-of-the-art BAW devices based on physics-based models and data-driven models
Requirements
- Current student pursuing a PhD in relevant engineering field
- Must be able to work 40 hours a week for full duration of program
Preferred Skills
- Proficiency with FEM tools, such as COMSOL
- Experience with scientific programming using MATLAB and / or Python
- Ability to process, cleanse and validate the integrity of data to be used for further analysis and experiments
- Familiarity with statistics, machine learning techniques and algorithms, and optimization
- Basic knowledge of solid mechanics or acoustic wave in solids. Knowledge in BAW resonators or RFMEMS resonators will be a plus
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