Demo

Machine Learning Summer Intern

Skyworks
Irvine, CA Intern
POSTED ON 3/27/2025
AVAILABLE BEFORE 4/8/2025

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 is a summer intern position from June To December 2025, based in Irvine, CA.

The candidate will participate in the key activities in the technology development of piezoelectric bulk acoustic resonators (BAW) including device modeling, characterization and EDA support. It is a cross-functional role in a collaborative engineering team and 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 engineering
  • Must have the availability to work full-time
  • 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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