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 sits at the intersection of hardware architecture, machine learning, and multimedia processing, requiring expertise in designing and implementing complex systems that handle imaging, video, and display pipelines.

The position involves working on cutting-edge technologies that will shape the next generation of Google's hardware experiences. You'll be responsible for developing new hardware architectures for hardware-accelerated image/video/display use cases, spanning areas of image processing, digital imaging, computer vision, computational photography, and machine intelligence.

As part of Google's mission to organize the world's information and make it universally accessible, you'll work with a team that combines the best of Google AI, Software, and Hardware to create radically helpful experiences. The role requires collaboration with various stakeholders, including product managers, algorithm developers, and software teams, to create optimized and innovative solutions.

Key responsibilities include designing multimedia systems, evaluating architectural designs and algorithms, authoring hardware specifications, and creating immersive user experiences. The ideal candidate will have a strong background in both multimedia technologies and machine learning, with experience in silicon development and hardware architecture planning.

The position offers the opportunity to work on technologies that will impact millions of Google users worldwide, developing solutions from circuit design to large system design, and seeing these systems through to volume manufacturing. This is a chance to be at the forefront of hardware innovation, working with a team that pushes boundaries in custom silicon solutions and hardware acceleration for machine learning applications.

The role requires a minimum of 4 years of experience in multimedia technologies and 1 year in machine learning hardware acceleration, though candidates with additional experience and advanced degrees are preferred. The position is based in either New Taipei or Zhubei, Taiwan, offering the opportunity to work with Google's global teams while contributing to the company's hardware innovation initiatives.