Chip CAD DevOps Engineer, Google Cloud

Sunnyvale, CA, USA

• Bachelor's degree in Electrical Engineering or a related field, or equivalent practical experience.
• 1 year of experience in software development, System Verilog, or electronic design automation (EDA).
• Experience with industry-standard tools, languages and methodologies relevant to the development of silicon-based ICs and chips.

• Master's degree in Electrical Engineering, Computer Engineering, or Computer Science, or a related field.
• 2 years of experience in a chip design team.
• Experience with common Electronic Design Automation (EDA) tools.
• Knowledge of object-oriented programming.
• Ability to write and understand System Verilog register transfer level (RTL) code.
• Excellent software skills and design practices.

In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting‑edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML‑driven systems.

As a Chip CAD Engineer, you will be working with a highly creative team, innovating new ways to develop hardware, improving upon industry standards, and potentially evolving a new paradigm in the field. At Google, you will have the opportunity to blend software design practices and hardware development complexity, demonstrating skills in both disciplines.

• Own chip development workflows such as integration, source control, and review.
• Create software solutions that improve the hardware design process through automation.
• Work with Chip teams on projects, prototype, and deploy tools to positively impact Google’s chip hardware development methodology.
• Develop CAD solutions including flow automation, dashboards, and documentation.

US: $116,000 – $166,000 (USD) + 15% bonus target + equity + benefits.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that reflects the users we serve, fostering a culture of belonging, and ensuring equal employment opportunity regardless of protected characteristics. See also Google’s EEO Policy.