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Google Silicon Engineering Intern PhD Summer 
United States, California, Sunnyvale 
272508878

14.10.2025

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Please complete your application before November 7, 2025.

Timing on when you can hear back will vary and can take upwards of 90+ days. If you haven’t heard from us in three months about your application, we likely proceeded with other candidates for the role.

Participation in the internship program requires that you are located in the United States for the duration of the internship program.

This internship is intended for students in their penultimate academic year, who are pursuing a PhD degree program in Electrical, Electronics, and Communication Engineering or a related technical field.

To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):
  1. In the “Resume Section:” attach an updated CV or resume.
    • Please ensure you’ve listed your anticipated graduation date (in MM/YY)
  2. In the “Education Section:” attach a current or recent unofficial or official transcript in English.
    • Under “Degree Status,” select “Now attending” to upload a transcript.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
Minimum qualifications:
  • Currently pursuing a PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
  • Research or project experience in at least one of the following areas of silicon engineering such as Architecture and Digital Design: computer architecture, microarchitecture, logic design, or RTL design (SystemVerilog, Verilog, VHDL), Design Verification: creating testbenches and validation plans, formal verification, or assertion-based verification, Physical Design and Circuits: synthesis, place-and-route, timing closure, custom circuit design, or power/signal integrity analysis, Pre/Post-silicon validation: emulation, FPGA prototyping, or post-silicon bring-up and debug.
  • Experience with scripting and programming languages such as Python, Tcl, Perl, or C++.

Preferred qualifications:
  • Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term.
  • In penultimate academic year or returning to a degree program after completion of the internship.
  • Experience with performance modeling, system-level simulation, or embedded systems development.
  • Expertise in a specialized area, such as high-performance/low-power design techniques, memory hierarchies, machine learning accelerators, interconnects, or advanced packaging.
  • Strong foundation in Design Automation (CAD/EDA), including developing and supporting design flows and infrastructure for large-scale projects. Familiarity with industry-standard EDA tools (e.g., from Synopsys, Cadence, Mentor).
  • Ability to work on complex, open-ended research problems, demonstrated through publications in top-tier conferences.

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