Hardware Engineering Intern, PhD, Summer 2027

Google
Goleta, California, United StatesPosted Sep 14, 2026
Hardware / EngineeringSummer 2027

About the role

MINIMUM QUALIFICATIONS

  • Currently pursuing a PhD degree in Electrical Engineering, Mechanical

Engineering, Computer Engineering, Computer Science, or a related technical field.

PREFERRED QUALIFICATIONS

  • Currently attending a degree program in the US and available to work full

time for 12 weeks outside of university term time.

  • In their penultimate academic year or returning to a degree program after

completion of the internship.

  • Experience working with data center systems.
  • Experience with consumer electronics or device manufacturing.
  • Experience in one or more of the following areas: hardware system integration

(board design, board bring-up), signal and power integrity, system validation, product design (mechanical/thermal), computer architecture, FPGAs, embedded systems, or memory systems (FEA or CFD), modeling or simulation for power/thermal analysis, or prototyping, testing, and debugging of data center systems in a lab environment.

  • Experience in one or more of the following areas: board layout (e.g., working

with CAD/PCB design), CAD Tools (e.g., NX, Creo, or Solidworks), Systems Integration, and familiarity with electromechanical assemblies, manufacturing techniques, fabrication techniques, or rapid prototyping or technical subsystems such as wireless, antenna, radio frequency, imaging, display, sensors, audio, charging power, or batteries.

ABOUT THE JOB

Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. The exact team you would be placed on is determined by business needs. However two teams of interest are our Platforms Infrastructure Engineering team and our Devices and Services team.

The AI and Infrastructure organization at Google designs, implements, and manages the hardware, software, machine learning, and

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