Embedded Software Engineer

As an Embedded Software Engineer at Google, you will be an integral part of a diverse team that is dedicated to creating custom silicon solutions for Google's direct-to-consumer products. Your role will involve contributing to cutting-edge innovations that shape the future of hardware experiences, ensuring unparalleled performance, efficiency, and integration across a wide range of devices used by millions worldwide. In this position, you will work at the exciting intersection of hardware and software, where you will design, develop, and optimize software that directly powers an array of smart devices, from mobile phones to other connected gadgets. Collaborating closely with hardware engineers, you will guarantee seamless integration and optimal performance to deliver high-quality embedded software solutions. You will have the opportunity to work on various aspects of embedded software, including roles in OS and Bare-metal, device drivers, firmware, security software, performance and power optimization, ML compilers, development tools, and machine learning applications on embedded systems. As a key member of a small and versatile team, your responsibilities will encompass designing, developing, testing, deploying, and maintaining embedded software solutions that drive technological advancements. At Google, our mission is to organize the world's information and make it universally accessible and useful. By combining the strengths of Google AI, software, and hardware, we strive to create remarkably helpful experiences that enhance people's lives through technology. Our team is committed to researching, designing, and developing new technologies and hardware that make computing faster, seamless, and more powerful. Key Responsibilities: - Design and develop embedded software solutions for a diverse range of hardware platforms. - Optimize software for performance, power efficiency, and reliability to enhance user experience. - Implement robust security features to safeguard embedded systems from potential threats. - Contribute expertise to areas including device drivers, firmware, performance optimization, compiler development, tooling, and machine learning on embedded devices. - Address complex challenges related to real-time systems, resource constraints, and hardware interactions to ensure seamless functionality and optimal performance.,