Silicon Engineering Intern, PhD, Summer 2027

Silicon Engineering Intern, PhD, Summer 2027 share Share Silicon Engineering Intern, PhD, Summer 2027 • linkCopy link • emailEmail a friend corporate_fareGoogleplaceSunnyvale, CA, USA; Austin, TX, USA; +2 more; +1 morebar_chartIntern & Apprentice Apply share Share Silicon Engineering Intern, PhD, Summer 2027 • linkCopy link • emailEmail a friend info_outline X Please complete your application before February 26, 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 program in Electrical 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): • 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. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Austin, TX, USA; Madison, WI, USA.

Minimum qualifications: • Currently pursuing a PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.

• Project or coursework experience in any one of the silicon engineering areas: architecture and RTL, verification and validation, physical design and circuits, systems, test and CAD.

• 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 terms, and also in penultimate academic year or returning to a degree program after completion of the internship.

• Research experience in specialized areas such as high-performance/low-power architectures, domain-specific accelerators (DSAs/TPUs), memory hierarchies, coherent interconnects (e.

g., CXL, PCIe, UCIe, NoC), or advanced packaging/chiplets. • Experience developing and maintaining CAD/EDA design flows, methodology infrastructure, or applying ML for chip design automation.

• Understanding of advanced ML/DL model architectures (e.g., Transformers, LLMs) with experience in performance modeling, cycle-accurate simulation, or custom AI accelerator evaluation.

• Familiarity with industry-standard EDA tools (e.g., from Synopsys, Cadence, Siemens EDA, or emulation/formal platforms). • Demonstrated research track record and ability to work on complex, open-ended problems, with publications in conferences (e.

g., ISCA, MICRO, HPCA, ASPLOS, DAC, ICCAD, ISSCC, NeurIPS, MLSys). About the job The Google Cloud and AI Infrastructure team focuses on building Google's next-generation systems.

The team's work is grounded in creating custom hardware, and as an intern you'll get to collaborate with engineers from various parts of the organization to influence the future of Google Cloud and the AI infrastructure by working on the foundational technology that makes it all possible.

This is the hardware that powers everything from Google Cloud, to our most advanced models like Gemini. As an intern, you will work on fundamental problems at the intersection of hardware, software, and algorithms.

You will collaborate with exceptional engineers and researchers on projects that directly impact Google's custom silicon portfolio, including highly specialized AI accelerators like our Tensor Processing Units (TPUs), and complex Systems-on-a-Chip (SoCs).

Your responsibilities and projects will be tailored to your expertise and could focus on any part of the system stack. Google Cloud accelerates every organization’s ability to digitally transform its business and industry.

We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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: $110000 - $147000 (USD) + 0% bonus target Learn more about benefits at Google. Responsibilities • Responsibilities and detailed projects will be determined based on your educational background, interest, and skills.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location.

Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc.

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board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments.

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