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Senior Silicon Product Manager, TPU Hardware

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Google
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Product Designer, Product Engineer
Salary/Wage Range or Industry Benchmark: 192000 - 279000 USD Yearly USD 192000.00 279000.00 YEAR
Job Description & How to Apply Below

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 are 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.

Individually, payment is determined by factors including job-related skills, experience, and relevant education or training. US: $192,000 - $279,000 (USD) + 20% bonus target + bonus + equity + benefits.

Minimum Qualifications
  • 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.
Preferred Qualifications
  • 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.
  • 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.
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.

Learn more about benefits at Google.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law.

If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Position Requirements
10+ Years work experience
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