Tensor Jobs (NOW HIRING)

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X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Diego, CA, USA.
Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in product management or related technical role.
• 5 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc.).
• Experience with GPU architecture and graphics APIs.
• Experience with SoC architecture, including silicon development.

Preferred qualifications:

• Master's degree in a technology or business related field.
• Expertise in GPU architectures, graphics APIs (e.g., Vulkan), GPU compute paradigms, and mobile gaming ecosystems.
• Experience with mobile gaming ecosystems.
• Understanding of mobile constraints.
• Ability to lead initiatives, influence outcomes without direct authority, and drive consensus across different organizations.
• Ability to lead detailed engaged analysis efforts for GPU performance and features.

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.
In this role, you will own and define the long-term graphics processing unit (GPU) product roadmap for Google's tensor system-on-chips (SoCs). You will be ensuring Pixel devices deliver graphics performance, gaming experiences, and GPU compute capabilities, while balancing power, performance, and area (PPA) within the mobile SoC constraints. You will drive strategy from concept to silicon, working closely with engineering, software, Pixel, and external partners.
Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.
The US base salary range for this full-time position is $240,000-$334,000 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

• Develop and advocate a compelling multi-year GPU roadmap for Tensor SoCs, aligning with Pixel product goals and overall Tensor SoC strategy.
• Conduct in-depth engaged analysis of mobile GPU architectures, performance, power efficiency, and industry trends to identify opportunities and risks.
• Translate user needs, gaming workloads, and emerging GPU compute (e.g., for AI/ML) requirements into clear silicon specifications and product requirements documents (PRDs) for the GPU IP.
• Drive cross-functional alignment with Silicon Engineering (Architecture, Design, Perf/Power), Android, Pixel Software, 1P App teams (e.g., Gaming, Chrome), and external GPU IP vendors.
• Define key performance indicators (KPIs) and power targets for the GPU, track progress, and make data-driven trade-off decisions throughout the product lifecycle.

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