G

Google

Runs Search and YouTube and builds Gemini AI

Engineering Productivity Lead - Switch Infrastructure

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree or equivalent practical experience.
  • Eight years of experience in software development.
  • Two years of experience in a technical leadership role, such as a tech lead, driving technical strategy or projects.
  • Experience with C++ or Python.
  • Experience with Linux networking or embedded systems.
  • Experience building and optimizing continuous integration and continuous delivery pipelines and build systems, such as Bazel or Make.

Responsibilities

  • Lead and grow an Engineering Productivity team, managing a structure that covers build systems, continuous integration and 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.
  • Deliver high-performance, resilient switch software powering Google's data center and AI infrastructure.
  • Develop and maintain the switch operating system deployed in every Google data center.
  • Build software for switches powering AI infrastructure, spanning data center fabrics, wide area networks, and the peering edge of the infrastructure.

Desired Qualifications

  • A 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, including Broadcom, Cisco, NVIDIA, and Arista.
  • A proven track record of applying AI or large language models to software development workflows, release tooling, or automated testing.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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