The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Design and develop software systems to plan Google's long-term infrastructure network through graph modeling and optimization engines to solve complex combinatorial problems.
Translate complex, abstract mathematical formulations such as combinatorial optimization into clean, robust, and thread-safe production code.
Architect and develop scalable full stack applications. Design secure web applications using Angular and TypeScript. Design, build, and maintain high-performance backend services using C++, Go, Python.
Architect and manage data warehousing solutions to store datasets efficiently. Design and optimize database schemas. Build automated pipelines to ingest, transform and aggregate data.
Own the end-to-end lifecycle of features, including system design, testing, deployment, and monitoring. Promote engineering best practices, including robust design, comprehensive test suite and structured code reviews.
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
Experience working on combinatorial optimization problems, advanced graph theory, advanced math and cloud capacity planning.
Experience building full stack applications including frontend development, backend infrastructure, database design.
Experience with frontend technologies such as Angular, TypeScript, and reactive programming.
Experience writing production-grade code using Python, Go and C++.
Experience in database design and familiarity with data warehousing products such as BigQuery.
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.
