Senior Silicon Product Manager, TPU Hardware

Senior Silicon Product Manager, TPU Hardware

_corporate_fare_ Google _place_ Mountain View, CA, USA

** Advanced*
* Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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* Minimum qualifications:

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* + Bachelor's degree or equivalent practical experience.

+ 8 years of experience in product management or related technical role.

+ 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).

+ Experience managing and launching processing cores in mobile SoC.

+ Experience defining and launching ML compute in mobile devices.

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* Preferred qualifications:

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Experience with consumer hardware development life-cycles and Original Design Manufacturers (ODM)/Contract Manufacturers (CM) working models.

+ Experience in GPU or TPU subsystems, processor design, performance benchmarks, low-power design, semiconductors, electronics, SoC design or architecture, consumer electronics.

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Experience with AI, ML, or Large Language models.

+ Familiarity with computing, connectivity, operating systems, software frameworks, software applications, and development life-cycles.

+ Excellent investigative, strategic and development insights and business acumen skills.

+ Excellent influencing, communication and people management skills to advocate initiatives internally, externally, as well as with executive management.

** About the job*
* At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information.  We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

We are looking for someone with deep technical and product management experience to define and help deliver AI compute in the form of Tensor processing units.

In this role you will help define ML hardware in collaboration with the silicon engineering team, compiler team and advanced research teams across the company as well as the device hardware/software groups. You will define an ML compute roadmap which will enable Pixel to bring to life key features that distinguish our first-party devices. We accomplish this with deep strategic and product insights rooted in silicon, software, systems and ML, which are all part of our full stack solution.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

$192000 - $279000 (USD) + 20% bonus target + bonus + equity + benefits

Learn more about benefits at Google () .

** Responsibilities*
* + Define the product goal by creating a differentiated and compelling ML compute Silicon roadmap.

+ Influence, inspire, collaborate and influence a broad team across Architecture, Software, IC Design, Operations, Product Management and Advanced Research to set the bar for ML compute leadership on mobile devices.

+ Evaluate new ML models, AI-based applications and use cases, technologies and standards, and advocate for or against adoption based on silicon and system-level considerations, engaged landscape, cost, usefulness and helpfulness and more.

+ Co-work with marketing and legal for product launches enabled with Google Tensor.

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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…