Multimedia Machine Learning System Architect, Silicon

Google is seeking a Multimedia Machine Learning System Architect to join their Silicon team, focusing on developing custom silicon solutions that power Google's direct-to-consumer products. This role combines hardware architecture, machine learning, and multimedia processing expertise to create next-generation hardware experiences.

The position involves designing and developing hardware architectures for accelerated image/video/display processing, working at the intersection of digital imaging, computer vision, computational photography, and machine intelligence. You'll be responsible for creating optimized architectures for current and future generation products while collaborating with various stakeholders to build and test hardware solutions.

As part of Google's mission to organize the world's information, you'll work with a team that combines Google AI, Software, and Hardware to create innovative and helpful experiences. The role requires deep expertise in multimedia technologies, silicon development, and machine learning hardware architecture, making it ideal for someone who wants to impact millions of users through Google's consumer products.

The ideal candidate should have strong experience in hardware IP development, system-level silicon architecture planning, and a deep understanding of machine learning algorithms for photography applications. You'll work on everything from circuit design to large system design, seeing projects through to volume manufacturing.

This is an opportunity to shape the future of Google's hardware capabilities, working on projects that directly impact user experiences in digital photography, computer vision, and machine intelligence applications. The role offers the chance to work with cutting-edge technology while collaborating with world-class experts in a company known for pushing technological boundaries.