Hardware Engineering Intern, PhD, Summer 2027

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 Amplify Team.

The AI & Infrastructure organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

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. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $106000 - $141000 (USD) + 0% bonus target

Learn more about benefits at Google.

Responsibilities

• Responsibilities may vary based on specific teams.

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.

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 February 26th, 2027.

Applications will be reviewed on a rolling basis and it’s in a candidate’s best interest to apply early.

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 in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, 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):

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.