Exploratory Data analysis AI Technology Lead, Google Cloud Full-time

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering or equivalent practical experience.
• 10 years of experience in chip design/verification/implementation.
• Experience in initiating methodologies and converting them into flows.
• Experience with the design stages of SOC’s.
• Experience with front end design flows/tools and methodologies.

Preferred qualifications:

• Master’s degree or PhD in Electrical Engineering.
• 10 years of experience in hardware, design, and bring-up.
• Experience in driving cross-functional decisions.
• Experience in implementing flows.

About the job

Be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google’s direct-to-consumer products. From Pixel phones to Nest devices and Fitbit wearables, you’ll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

As an EDA AI Technology Lead within Google’s Hardware team, you’ll lead efforts to develop tools using AI for chip development, and will have a substantive impact on the technical infrastructure that powers Google. You will provide thought leadership to a group of hardware engineers in an innovative and fast-paced environment with a focus on AI and tool development for chip design. You’ll also lead complex technical projects from the concept/planning stage through execution and closure. Leveraging your technical and leadership expertise, you will lead end-to-end chip design process improvement projects in multiple areas of expertise.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google’s product portfolio possible. We’re proud to be our engineers’ engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities

• Lead efforts to develop tools using AI for chip development. Perform or guide technical evaluations of tools for possible deployment.
• Partner with experts from our Chip Design teams, EDA partners, Google Deep Mind, Google Research, and Platform team.
• Optimize EDA flows with AI technology and collaborate with the Tools and Methodologies teams.
• Understand the infrastructure, tools, and libraries required for our research to interface with real-world systems and EDA tools.
• Act as an individual contributor while simultaneously working to shape direction and strategy as the project scales.