Silicon CAD Engineer

Google India Pvt Ltd; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Google is seeking a Silicon CAD Engineer II in Bengaluru to contribute to the AI and Infrastructure team. You will develop automation scripts to enhance VLSI design flows and integrate EDA tools within the design CI2 flow, working with design and verification teams to improve tool reliability and productivity.

The role emphasizes Python and C++ development, version control, and experience with Linux/Unix environments, with opportunities to work on advanced technology nodes and scalable silicon

Qualifications

• Bachelor's degree in Electrical Engineering, a related technical field, or equivalent practical experience.
• 1 year of industry experience in semiconductor CAD/automation or internship experience.
• Experience with coding and software development in Python or C++.
• Experience with version control systems, Linux/Unix operating systems, and shell scripting.
• Experience with standard VLSI design concepts and flows.

Responsibilities

• Develop, test, and maintain automation scripts and software tools using Python and C++ to enhance VLSI design and CAD environment efficiency.
• Assist executive CAD engineers in integrating and supporting commercial Electronic Design Automation (EDA) tools within the CI2 design flow.
• Collaborate with design and verification teams to debug and resolve tool and flow issues, contributing to productivity improvements.
• Contribute to documentation, standardization, and version control (e.g., Git) practices for CAD tools and methodologies.

Skills

Python

C++

Shell scripting

Linux/Unix

VLSI design concepts

Education

Bachelor's degree in Electrical Engineering or related field

Tools

Git

EDA tools

Job description

Silicon CAD Engineer II

Minimum qualifications

• Bachelor's degree in Electrical Engineering, a related technical field, or equivalent practical experience.
• 1 year of industry experience in semiconductor CAD/automation or internship experience.
• Experience with coding and software development in Python or C++.
• Experience with version control systems, Linux/Unix operating systems, and shell scripting.
• Experience with standard VLSI design concepts and flows.

Preferred qualifications

• Master's degree in Electrical Engineering, Computer Engineering or Computer Science or a related field.
• Working experience in advanced technology nodes.

About the job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities

• Develop, test, and maintain automation scripts and software tools using Python and C++ to enhance VLSI design and CAD environment efficiency.
• Assist executive CAD engineers in integrating and supporting commercial Electronic Design Automation (EDA) tools within the CI2 design flow.
• Collaborate with design and verification teams to debug and resolve tool and flow issues, contributing to productivity improvements.
• Contribute to documentation, standardization, and version control (e.g., Git) practices for CAD tools and methodologies.