In this role, you will build software for switches that power the world's largest AI infrastructure, spanning from data center fabrics to wide area networks and the peering edge of our infrastructure.
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 force 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.
Lead and grow an Engineering Productivity team, managing a structure that covers build systems, continuous integration/deployment, testing infrastructure, and release management.
Optimize development and submit loops to reduce build and test times from hours to minutes and streamline time-to-submit.
Oversee production switch software releases, qualification gates, branching strategies, and release candidate health metrics.
Build automated pipelines for continuous downstreaming from open-source repositories and upstream internal improvements.
Architect and deploy AI-powered automation to eliminate developer toil and accelerate release velocity, collaborating with software simulation for enhanced test selection.
Minimum qualifications
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
2 years of experience in a technical leadership role (e.g., tech lead) driving technical strategy or projects.
Experience with C++ or Python.
Experience with Linux networking or embedded systems.
Experience building and optimizing CI/CD pipelines and build systems (e.g., Bazel, Make).
Preferred qualifications
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
Experience with SONiC, SAI, P4, or open-source networking software stacks.
Experience managing releases across complex, heterogeneous network switch hardware matrices (Broadcom, Cisco, NVIDIA, Arista).
Proven track record of applying AI/LLMs to software development workflows, release tooling, or automated testing.
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
2 years of experience in a technical leadership role (e.g., tech lead) driving technical strategy or projects.
Experience with C++ or Python.
Experience with Linux networking or embedded systems.
Experience building and optimizing CI/CD pipelines and build systems (e.g., Bazel, Make).
