Silicon CAD Automation Engineer, University Graduate, 2026

Minimum qualifications:

• Bachelor's, Master's, or Dual degree in Electrical, Electronics and Communication Engineering, or relevant technical field.
• Experience with basic design concepts and computer hardware architecture.

Preferred qualifications:

• Internship work, work experience, or personal project experience outside the classroom in Hardware, Electrical Engineering or Mechanical Engineering.
• Experience in one or more of the following areas: SoC/ASIC design, design verification, physical design, design for testability.
• Experience with Verilog/HDL or System Verilog coding.

About the job

Google engineers develop the next-generation technologies that change how users connect, explore, and interact with information and one another. As a member of an extraordinarily creative, motivated and talented team, you develop new products that are used by millions of people. We need our engineers to be versatile and passionate to take on new problems as we continue to push technology forward. If you get excited about building new things and working across discipline lines, then our team might be your next career step.

Google's Consumer Hardware Silicon division builds chips optimized for Google branded consumer devices. Our product areas include imaging, machine learning, video, and security. We aim to build a team with talent that resonates with Google's culture of innovation and fun.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities

• Work with the SoC teams to develop power and performance optimized chips.
• Contribute to the design, verification, and silicon implementation of ASICs and SoCs.
• Work on design concepts around CPUs, image processing, machine learning, computer vision, security, and video.
• Collaborate with teams in automating the SoC design flows.