Join a groundbreaking team shaping the future of Google Cloud Silicon, including TPUs, arm-based servers, and network products. This internship offers a unique opportunity to collaborate with leading hardware and software architects and designers.

You will be instrumental in architecting, modeling, analyzing, defining, and designing next-generation Cloud Silicon. The role involves dynamic, multi-faceted responsibilities that balance performance, power, features, schedule, and cost for cutting-edge products.

This position is part of the ML, Systems, and Cloud AI (MSCA) organization, responsible for the hardware, software, machine learning, and systems infrastructure powering all Google services and Google Cloud. Our work ensures security, efficiency, and reliability for global users and services.

As a Silicon Engineering Intern, you will contribute to the definition, design, and implementation of advanced silicon products. Responsibilities will be tailored to specific teams, focusing on areas such as:

- Collaborating with hardware and software architects and designers. - Architecting, modeling, and defining next-generation Cloud Silicon. - Analyzing product performance, power, and cost. - Working on hardware system integration and product design. - Engaging in digital design verification and ASIC physical design. - Contributing to FPGA and embedded systems development.

We are seeking individuals currently pursuing a PhD in a related technical field, such as Computer Engineering, Computer Science, Electronics and Communication Engineering, or Electrical Engineering.

Essential skills include proficiency in programming languages like C++, Python, Verilog, and UVM, along with experience using Synopsys and Cadence tools.

Candidates should have experience in at least one of the following areas: hardware system integration, product design, computer architecture, digital design verification, digital circuits, ASIC physical design, FPGAs, embedded systems, or memory systems.