Staff Software Engineer, Workspace GenAI Platform Infrastructure
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience programming in C++.
- 5 years of experience testing, and launching software products.
- 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 3 years of experience with software design and architecture.
Preferred qualifications:
- 8 years of experience with data structures and algorithms.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
About the job
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.
The Workspace AI platform team uses Google's Gen AI models and infrastructure to build an AI platform to power Google Workspace products, such as Google Docs, Sheets, Slides, Gmail, Google Drive, which are actively used by hundreds of millions of users that depend on us each day. We're helping users be more productive by automating repetitive tasks, surfacing new insights and visualizations, and making content creation, collaboration, and consumption even easier. We’re responsible for agentic features that help users be their most creative, productive selves at work, school, and home.
AI will change the future of work in profound ways, and our products— Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Establish the technical outlook, and lead the architectural evolution of Corto to serve as a unified solution for all Workspace AI features requiring persistent storage, including its expansion to fit the needs of ever-changing landscape of genAI (e.g., long-running, async agentic workflows).
- Delivery of core system components (e.g., data lifecycle managements, schema changes, canonical API contracts) for feature teams to access stored AI artifacts across Workspace apps.
- Ensure Compliance, Security, and Governance. Fully understand a variety of Workspace Security and Compliance (S&C) requirements, and ensure that Corto is compliant by default.
- Act as the primary point of contact for onboarding new genAI use cases, and work closely with product and other technical leads to ensure architectural alignment and roadmap prioritization.
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