Senior Software Engineer, On-Device Machine Learning

Senior Software Engineer, On-Device Machine LearningGoogle'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.

As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.Responsibilities:Write and test product or system development code.Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.Develop LiteRT, Google's on-device AI framework for 1P and 3P, enabling state-of-the-art hardware acceleration and use cases on edge platforms.Enable on-device deployment of key models, such as Gemini Nano and Gemma, across various accelerators (GPU / Pixel TPU / NPUs / CPU) on Android, Chrome, and more.Improve performance of on-device model inference via optimizations in the model conversion, on-device runtime and kernel implementation.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $ - $ (USD) + 15% bonus target + equity + benefits.Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.