Minimum qualifications:
- Bachelor's degree, or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 3 years of experience in a technical leadership role; overseeing strategic projects, with 2 years of experience in a people management, supervision/team leadership role.
- Master's degree or PhD in Computer Science, or in a related technical field.
- Experience with mobile development or embedded system.
- Experience with Machine Learning (ML)-powered feature development and productization.
About the job
Like Google's own ambitions, the work of a Software Engineer (SWE) goes way beyond just Search. SWE Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a SWE Manager you manage your project goals, contribute to product strategy and help develop your team. SWE teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
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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 Artificial Intelligence (AI) experts from Google DeepMind and CoreML to adapt and deploy the Gemini model for seamless integration into mobile user applications.
- Optimize the AICore runtime, with a focus on Gemini Nano, to ensure optimal performance and efficiency within the diverse Android environment.
- Design and build robust, user-friendly developer-facing Application programming interfaces(API), empowering the Android developer community to create innovative and engaging AI-powered user experiences.
- Work with product teams to innovate and implement novel user experiences, leverage techniques like Retrieval-Augmented Generation (RAG), traditional ML models, LoRAs, and targetedLarge Language Model(LLM) fine-tuning.
- Foster a culture of innovation, excellence, and provide technical leadership and mentorship to a team of talented AI engineers for the Android ecosystem.