• Work with the SoC teams to develop power and performance optimized chips.

• Contribute to the design, verification, and silicon implementation of ASICs and So Cs.

• Work on design concepts around CPUs, image processing, machine learning, computer vision, security, and video.

• Collaborate with teams in automating the SoC design flows.

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.

As a Silicon Engineer, you will design, develop, and deploy consumer hardware. As a member of a fast-paced multi-disciplinary team, you will use your creativity and various range of engineering experience to explore solutions to a variety of engineering problems. Additionally, you will participate in the design, analysis, and prototyping of new concepts. You will also work in a manufacturing and product oriented development environment and collaborate with vendors and outside sources in order to see parts through to manufacture.

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.

• Bachelor's, Master's, or Dual degree in Electrical, Electronics and Communication Engineering, a relevant technical field, or equivalent practical experience.

• Experience with design concepts and computer hardware architecture.