Shape the future of Google Cloud Silicon, including TPUs, arm-based servers, and network products. This internship offers a unique opportunity to collaborate with leading architects and designers on next-generation Cloud Silicon.

Contribute to the ML, Systems, and Cloud AI (MSCA) organization, responsible for the hardware, software, machine learning, and systems infrastructure powering Google's services and Cloud. You'll be part of a team that prioritizes security, efficiency, and reliability in hyperscale computing.

Google is a place for engineers to tackle significant technological challenges and make a global impact. Join us to work on massive scalability, storage solutions, large-scale applications, and innovative platforms.

Collaborate with hardware and software architects to define, model, and design next-generation Cloud Silicon.

Engage in dynamic responsibilities spanning product definition, design, and implementation.

Work with engineering teams to achieve optimal balance in performance, power, features, schedule, and cost.

Currently pursuing a PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field.

Proficiency in programming languages such as C++, Python, Verilog, and UVM.

Experience with Synopsys and Cadence tools.

Demonstrated experience in one or more areas: hardware system integration, product design, computer architecture, digital design verification, digital circuits, ASIC physical design, FPGAs, embedded systems, or memory systems.

Preferred: Currently enrolled in a degree program in India and able to commit to 12 weeks of full-time work during non-university periods. Familiarity with performance modeling tools is a plus.