Silicon Engineering Intern, BS​/MS, Summer

Minimum qualifications:

• Currently pursuing a Bachelor’s or Master’s 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 or programming languages such as Python, Tcl, Perl, or C++.

• Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term and also in penultimate academic year or returning to a degree program after completion of the internship.
• Coursework, lab, or internship experience in computer architecture, digital logic/RTL design, ASIC/SoC design verification (UVM/System Verilog), physical design, or embedded firmware.
• Experience developing automation scripts or CI/CD pipelines for hardware design and verification workflows using Python, Tcl, or Bash.
• Experience with FPGA prototyping platforms, lab test equipment (oscilloscopes, logic analyzers), or chip tapeout/shuttle programs.
• Familiarity with industry-standard EDA tools (e.g., from Synopsys, Cadence, Siemens EDA) for simulation, synthesis, lint/CDC, or place-and-route.
• Understanding of AI/ML hardware acceleration concepts, memory hierarchies, or standard on-chip protocols (e.g., AXI, APB, PCIe).

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 Cloud Chip Innovation Infrastructure team and our Platforms & Devices Team.

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, Search, You Tube to our most advanced models like Gemini.

As a Silicon Engineering Intern in Google Cloud’s Chip Innovation Infrastructure team, 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.

The Platforms & Devices team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. Our Silicon team is responsible for developing custom silicon solutions that deliver differentiated user experiences and optimize performance and power across our Google Hardware products. Our work includes designing cutting-edge Systems-on-a-Chip (SoCs), as well as various mixed signal, logic, and sensor Integrated Circuits (ICs) for our entire product portfolio.

As a Silicon Engineering intern within the P&D Silicon Team, you would join a project that is a critical part of our silicon development process. The team works directly with product teams and other groups across Google to map out chip requirements and ensure our hardware organization is always up-to-date on the latest chip technologies.

Google is…