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.
As a Hardware Engineering Intern for the Platforms Infrastructure Engineering team, you will help design and build the hardware and software technologies that power all of Google's services. Our computational challenges are complex, enabled by custom hardware designed and made in-house.
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.
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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 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.
Currently pursuing a PhD degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or a related technical field.
