Exploratory Data Analysis AI Technology Lead, Google Cloud
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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
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.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
This job is no longer accepting applications
See open jobs at Google.See open jobs similar to "Exploratory Data Analysis AI Technology Lead, Google Cloud" Out for Undergrad.