Join a pioneering team dedicated to crafting custom silicon solutions that drive the future of Google's consumer products. You will be instrumental in the innovation behind offerings enjoyed by millions globally. Your technical acumen will define the next generation of hardware, delivering exceptional performance, efficiency, and integration.

The AI and Infrastructure team is at the forefront of redefining possibilities. We equip Google customers with transformative capabilities and insights by providing AI and Infrastructure solutions at unmatched scale, efficiency, reliability, and velocity. Our impact reaches Googlers, Google Cloud clients, and billions of users worldwide.

We are the engine behind Google's most significant advancements, fueling the development of advanced AI models, delivering immense computing power to global services, and establishing the foundational platforms for developers to build the future.

Develop, test, and maintain sophisticated automation scripts and software tools using Python and C++ to boost the efficiency of VLSI design and CAD environments.

Support senior CAD engineers in integrating and managing commercial Electronic Design Automation (EDA) tools within the CI2 design flow.

Collaborate closely with design and verification teams to troubleshoot and resolve tool and flow-related issues, directly contributing to enhanced productivity.

Contribute to the creation of documentation, the establishment of standardization practices, and the adherence to version control methodologies, such as Git, for CAD tools and processes.

A Bachelor's degree in Electrical Engineering, a related technical field, or equivalent practical experience is required.

Possess at least one year of industry experience in semiconductor CAD/automation or relevant internship experience.

Demonstrated experience with coding and software development in Python or C++ is essential.

Proficiency in version control systems, Linux/Unix operating systems, and shell scripting is necessary.

Familiarity with standard VLSI design concepts and flows is expected.

Preferred candidates will hold a Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related discipline, and possess working experience in advanced technology nodes.