Google is seeking a Senior Staff Software Engineer to join their AI Data Trust team, focusing on accelerating safe and responsible AI governance. This role is part of the ML, Systems, & Cloud AI (MSCA) organization, which is responsible for the infrastructure powering Google's services and Cloud AI offerings.
The position requires a technical leader who will help shape the strategy and direction for a new team of ML Infrastructure engineers. You'll be designing and building infrastructure solutions that enable AI practitioners to meet data compliance and safety requirements while maintaining development velocity for AI models and products.
Working at the intersection of machine learning infrastructure and AI governance, you'll collaborate with teams across Google DeepMind, Core Privacy, Safety and Security, and Core Data. The role spans multiple technical layers, from high-level ML tooling and frameworks to common ML services and storage infrastructure.
This is a unique opportunity to impact Google's AI initiatives at scale, working with cutting-edge technologies like TPUs and contributing to products such as Vertex AI. The ideal candidate will bring extensive experience in software development, system design, and machine learning infrastructure, combined with strong leadership and collaboration skills.
Benefits include working with world-class engineers, access to Google's advanced computing infrastructure, and the opportunity to shape the future of AI governance and infrastructure at one of the world's leading technology companies. The role offers significant technical challenges and the chance to make a meaningful impact on how AI is developed and deployed responsibly at scale.