In this role, you will be at the forefront of delivering excellent notebook experience and building the foundational infrastructure for Gen AI agents. You will lead a team, directly enhancing Vertex AI Notebooks, including both Workbench Enterprise, as you collaborate with dynamic, cross-functional teams. While direct AI Agent development experience isn't a prerequisite, passion for learning Google's AI technologies is essential. You should have experience in languages like Java, Golang, Typescript, or Python, and an extensive background in cloud computing, distributed systems, or micro services. Familiarity with Google's production environment or Google Cloud is required to help guide crucial design and trade-off decisions.
The ML, Systems, and Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.