Hardware Engineering Intern, Summer 2021 | Geo Hardware Engineering, part of Google

Date Posted: 
Monday, February 8, 2021
Position Location: 
Mountain View, CA
Job Description: 

This application is intended for students who are eligible for full-time work authorization in the United States upon completing their education, who will be returning to their degree program after the completion of the internship.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

Job Summary:

Lens design engineering 2021 summer internship opportunity at the Google Geo Hardware team:

  • 100% remote, online activities
  • Start time: flexible but between early May to late June preferred
  • Duration: 12 to 14 weeks
  • Project highlight -- Imaging lens design with emphasis on large FoV, color correction, ray tracing optimization algorithm development
  • Expectations for students:
    • Majoring in optical engineering.  All levels of students will be considered, graduate students preferred.
    • Knowledge in aberration theory beyond 3rd order
    • Experience in imaging lens design using Code V and Zemax
    • Knowledge in ray tracing and optimization algorithm
    • Knowledge in Matlab, Python, or other programming languages

Minimum qualifications:

  • Currently pursuing a PhD degree in Electrical Engineering or a related field.
  • Scripting experience with MATLAB/OCTAVE and/or Python.
  • Research or teaching experience, previous internships, and/or personal projects in the following areas: Hardware and architecture, PCB design, and Test/measurement.

Preferred qualifications:

  • Research or teaching experience, previous internships, and/or personal projects in one or more of the following areas: Acoustic noise modeling automation in mobile systems and/or electromechanical model development for MLCC capacitors.
  • Returning to a degree program after the internship ends.


  • Build model library for lumped components such as resistors, capacitors, inductors, and ICs .
  • Write script either in Matlab or Python to automatically assign models for an assembled PCB or semi rigid FPC in the given simulation environment.
  • Develop MLCC capacitor models.