Silicon Engineer, Platform and Devices, University Graduate, 2026
Indexed description
- Bachelor's degree in Electrical, Electronics and Communication Engineering, a relevant technical field, or equivalent practical experience.
- Experience with design concepts and computer hardware architecture.
- 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.
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 Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
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.
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