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 jobThe 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.
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.
