Hardware Architecture Modeling Engineer PhD University Graduate - Google Careers
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Hardware Architecture Modeling Engineer PhD University Graduate
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Minimum qualifications: PhD degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience. Experience in any one domain of computer engineering or silicon engineering through internships, academic research, or publications (e.g., co-design, digital design, architecture).
Preferred qualifications: Research or internship experience in AI/ML hardware acceleration. Experience with publications in peer-reviewed journals and conferences. Ability to demonstrate significant understanding of relevant domains such as architecture, digital design, and performance.
Excellent problem-solving and communication skills with the ability to work effectively in a team environment.
About the Job
In this role, you will work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU technology that powers Googles most demanding AI/ML applications. You will be part of a team that pushes boundaries developing custom silicon solutions that power the future of Googles TPU. You will 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 Hardware Architecture Modeling Engineer, you will work with hardware and software architects to model, analyze, and define next-generation Tensor Processing Units (TPUs).
The AI and Infrastructure Team
The AI and Infrastructure team is redefining whats possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability, and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We are the driving force behind Googles groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware, our teams are shaping the future of world-leading hyperscale computing with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems, research, and much more.
US Base Salary Range
The US base salary range for this full-time position is $132,000 - $189,000, bonus, equity benefits.
Responsibilities
Google is an Equal Opportunity Employer
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 Googles EEO Policy Know your rights workplace discrimination is illegal Belonging at Google and How we hire.
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