Google is looking to hire Silicon Engineers to contribute to the innovation behind custom silicon solutions that power the future of Google's direct-to-consumer products, aiming to deliver unparalleled performance, efficiency, and integration. The role involves contributing to Google's AI efforts by optimizing performance, power, and area for critical silicon infrastructure like TPUs and ML accelerators.
Requirements
- PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
- Experience in any one domain of silicon engineering through internships, academic research, or publications (e.g., digital design, design verification, silicon validation, or system integration).
- Experience with one of the hardware description languages (e.g., Verilog, SystemVerilog) or one scripting language (e.g., Python, Perl).
- Research or internship experience in advanced topics such as heterogeneous computing, low-power design, advanced packaging, or AI/ML hardware acceleration.
- Experience with publications in peer-reviewed journals and conferences.
- Familiarity with industry-standard design tools for simulation, and verification.
- Ability to demonstrate significant understanding of relevant domains such as Architecture, Digital Design, Design Verification, System Integration or Silicon Validation.
Responsibilities
- Drive and develop innovative solutions across frontend silicon engineering domains, including architecture, digital design, design verification, and system integration.
- Utilize advanced modeling and simulation techniques to analyze and optimize system performance, power consumption, and thermal characteristics.
- Participate in the design, verification, and validation of complex silicon systems, encompassing RTL coding, functional verification, and system integration.
- Contribute to the development and improvement of electronic design automation (EDA) tool infrastructure and internal flows.
- Collaborate with cross-functional teams to debug failures and translate research findings into practical silicon solutions.
- Investigate and implement novel approaches to optimize performance, power, and area for critical silicon infrastructure like TPUs and ML accelerators.
- Make significant, independent technical contributions by planning, managing, and executing your priorities, selecting appropriate methods to achieve project goals.
Other
- This role is open to consideration for all eligible PhD graduates with completion dates in any month of 2025 of 2026.
- Excellent problem-solving and communication skills, with the ability to work effectively in a team environment.
- Translate research findings into impactful silicon solutions that enhance user experience.
- Contribute to Google's AI efforts, working across various stages of the silicon lifecycle, from architecture and design to verification, validation, and deployment.
- Preferred working location from the following: Sunnyvale, CA, USA; Madison, WI, USA.
