ASIC Platform Software Architect @ Google

About the job Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. The Silicon Software team has the long term charter to develop software for a variety of custom silicon being developed within Google. This includes IP for many diverse applications. We are working generations ahead of the market to enable groundbreaking features. In this role, you will be involved in developing software across a few domains such as platform software (BSP, firmware, drivers) delivered to our customers, silicon validation software to be used in the pre-silicon, and post-silicon validation, compilers, drivers, runtime, embedded firmware and tools in the machine learning domain, security architecture and systems, system power and performance, related engineering productivity and test engineering activities.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.

Responsibilities

• Collaborate with stakeholders to identify user experiences characteristics and how they can be mapped onto hardware and software.
• Design architecture and software interfaces that enable application developers to make use of hardware accelerators and other IP.
• Understand interactions between hardware components, identify issues and bottlenecks, provide trade-off options and drive them to resolution.
• Help design or improve hardware from generation to generation based on lessons learned from productization efforts, and to reduce technical debt.