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Google Silicon Engineering Intern BS/MS Summer 
United States, California, Mountain View 
400011717

20.11.2024

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Info Please complete your application before November 22nd, 2024.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 Bachelor's or Master's degree program in Electrical, Electronics, and Communication Engineering or a related technical field.Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program.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):In the “Resume Section:” attach an updated CV or resume.Please ensure you’ve listed your anticipated graduation date (in MM/YY)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.This role may also be located in our Playa Vista, CA campus.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Bellevue, WA, USA; Chicago, IL, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; New York, NY, USA; Palo Alto, CA, USA; Portland, OR, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; Redmond, WA, USA; Redwood City, CA, USA; San Diego, CA, USA; Goleta, CA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; San Jose, CA, USA; Santa Cruz, CA, USA; South San Francisco, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA.

Please complete your application before November 22nd, 2024.

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 Bachelor's or Master's 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.

This role may also be located in our Playa Vista, CA campus.

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 Bachelor's or Master's degree in Electrical, Electronics, and Communication Engineering or a related technical field.
  • Experience with basic design concepts and computer hardware architecture.
  • Experience with one or more of the following: C, C++, MATLAB/OCTVE, Python, SystemVerilog / VHDL, or Verilog.

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 one or more of the following: Java, JavaScript, or OCEAN.
  • Research or teaching experience, previous internships, or personal projects in one or more of the following areas: Algorithms and theory, Analog IC design, Architecture/system specification, ASIC design, Data Mining, Digital design, Hardware and architecture, Infrastructure/systems programming, Machine learning and artificial intelligence, Mixed-signal, or Natural language processing, or TensorFlow.

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