Product Manager, Machine Learning Silicon, Tensor

Key Skills

Java Programming, Finance, Design, Management, Python Programming, SQL, Tech Support, Machine learning techniques, CUDA/GPU programming, VR/AR frameworks

Job Description

Minimum qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering or related technical field or equivalent practical experience.
• 7 years of experience in product management and development at a semiconductor company.
• Experience working with cross-functional teams including Hardware and Software Engineering, Product Engineering, Industrial/Product Design, Sales, Marketing, Finance, Supply Chain, Customer Support, Partnerships, and Legal.

Preferred qualifications:

• Experience with high-level Machine Learning frameworks, toolchains, and developer tools.
• Experience working with developer tools for mobile compute applications targeting processors (e.g., GPU, DSP, or specialized ML accelerators).
• Excellent communication skills to advocate initiatives and secure executive support.

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.

Tensor makes transformative user experiences possible with the help of machine learning running on Tensor Processing Unit (TPU). Our goal is to productize the latest Machine Learning (ML) innovations and research by delivering heterogeneous computing hardware and software. In this role, you will define the next-generation ML silicon for a portfolio of consumer products.

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.

Responsibilities

• Define custom ML hardware that brings to life key experiences around productivity, health and fitness, entertainment, social connection, and distinguish our first party devices by delivering end user impact.
• Work cross-functionally to assess and select challenges to overcome through custom silicon, build multi-year roadmaps that intersect our long-term device strategy, and secure executive support for ML hardware.
• Ensure ML hardware has a clear path to productization, and drive internal stakeholder and partner engagements necessary for the on-time launch of the product.
• Drive Hardware, Software, and ML co-design between the Silicon team and various Device and Software teams across the company.