Software Engineer, Android Laptops and Tablets Camera

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. 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. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Design, write, review, and test code in the Android OS environment for the Face Auth (Toscana) feature in Android laptops/tablets (Aluminium). Innovate and build premium camera features for Aluminium devices. Leverage Google's cutting-edge AI/ML technologies to power innovative use cases or optimize camera image quality.   Collaborate with cross-functional teams (e.g., Pixel and VM) to pioneer advanced camera features and concepts.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 2 years of experience in Android infrastructure or feature development. Preferred qualifications: 5 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, Rust/Kotlin). Experience with development with physical devices. Experience building camera stack on OS/framework level or working with complex hardware-software integration. Familiarity with on-device ML model integration and basic knowledge of ML model application. Proven track record of leading technical projects from design through production launch.