Google is seeking a Senior Imaging and On-Device Machine Learning Software Engineer to join their Silicon team, focusing on developing next-generation technologies for Google Tensor SoC-based Pixel devices. This role combines advanced Google research in Generative AI and Computational Photography to create innovative user experiences.
The position requires expertise in imaging and machine learning software architecture to prototype proof-of-concept experiences. You'll work on critical projects within Google's ecosystem, where your work will directly impact billions of users' interactions with Google products. The role offers opportunities to work across the full stack of imaging and ML systems, from kernel-level development to application-layer implementation.
As part of Google's mission to organize the world's information, you'll be at the intersection of AI, Software, and Hardware, creating technologies that make computing faster, seamless, and more powerful. The role involves collaboration with multiple teams, including multimedia IP, architecture, and device software teams, to transform prototypes into production-ready features.
Key responsibilities include optimizing power and performance of imaging and Generative AI use-cases, performing detailed system analysis, and building software across the camera and ML stack. The ideal candidate should have strong experience with mobile SoC architecture, multimedia subsystems, and ML inference pipeline development.
This is an excellent opportunity for someone passionate about pushing the boundaries of mobile imaging and machine learning, with the chance to work on cutting-edge technology that will shape the future of Google's Pixel devices.