Software Engineer, Machine Learning, Edge TPU

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.

You will work as part of the EdgeTPU Applied Machine Learning team. We are leading the efforts of defining, developing and training edge optimized models for Generative AI, computer vision, natural language, and speech use cases. You will design, build, and maintain model optimization tools and infrastructure modules needed for automating optimization and training of neural networks and architecture design space exploration. Additionally, you will closely collaborate with ML model developers, researchers, and EdgeTPU hardware/software teams to accelerate the transition from research ideas to user experiences running on the EdgeTPU.

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.