RTL Design Engineer Machine Learning Accelerators - Google Careers
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RTL Design Engineer Machine Learning Accelerators
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Experience driving progress solving problems and mentoring more junior team members deeper expertise and applied knowledge within relevant area.
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Minimum qualifications Bachelors degree in electrical engineering computer engineering computer science or a related field or equivalent practical experience. 4 years of experience with custom silicon design e.g. SoCs ASICs etc.. Experience with RTL design using Verilog or SystemVerilog.
Preferred qualifications Masters degree or PhD in electrical engineering computer engineering or computer science with a focus on computer architecture. Experience interacting with software architecture and other cross-functional teams. Experience with a scripting language e.g. Python or Perl Experience applying engineering best practices e.g. code review testing refactoring. Knowledge of processor design accelerators or memory hierarchies and machine learning algorithms. Knowledge of high performance and low power design techniques.
About the job In this role youll work to shape the future of AIML hardware acceleration. You will have an opportunity to drive cutting-edge TPU Tensor Processing Unit technology that powers Googles most demanding AIML applications. Youll be part of a team that pushes boundaries developing custom silicon solutions that power the future of Googles TPU. Youll 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 AIML-driven systems.
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. Were 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.
The US base salary range for this full-time position is 138000-198000 bonus equity benefits. Our salary ranges are determined by role level and location. Within the range individual pay is determined by work location and additional factors including job-related skills experience and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only and do not include bonus equity or benefits. Learn more about benefits at Google.
Responsibilities Understand the overall application of the chip proposing and developing improvements in overall design. Design and document one or more blocks of an ASIC including functionality and timing. Work with software teams on functionality interfaces and documentation.
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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 Googles EEO Policy Know your rights workplace discrimination is illegal Belonging at Google and How we hire.
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