Network Automation Engineer, AI and Infrastructure

• Drive the quantifiable analysis of measurements, or data and capacity forecast models for making networks more scalable, efficient, and deliver predictable user experience.
• Evaluate the current inefficiencies, complexities, and flaws in network systems, and propose designs, software, and processes to improve them.
• Develop software that improves the performance, safety, transparency, and manageability of network systems.
• Participate in rotating schedules with other team members, including weekends.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

• Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent practical experience.
• 3 years of experience with network routing protocols, design and troubleshooting, with network equipment providers.
• Experience in one or more programming languages such as C++, Go, or Python., * Experience utilizing SQL and querying complex data structures to retrieve network diagnostics, combined with statistical analysis or AI/ML insights to identify failure trends.
• Experience with planning and designing large scale networks (e.g., multiple sites, multiple products, etc.).
• Experience developing software tools that programmatically analyze and troubleshoot global-scale IP (e.g., routing protocols, control planes) or optical networks (e.g., DWDM, OTN).
• Experience in Go programming and working with internal RPC/service frameworks, databases, and large-scale data pipelines.
• Experience creating formal technical requirements and design documents for complex, scalable software applications and services.

Google is proud to boast a network that provides service to millions of Internet users around the world. The Network Engineering team is responsible for operating that network reliably and at scale. As a member of the team, you have a direct impact on design and feature enhancements to keep our systems running smoothly. You also ensure that network operations are safe and efficient by monitoring network performance, coordinating planned maintenance, adjusting hardware components and responding to network connectivity issues. Google’s complex network generates a constant stream of challenges which require you to continually be innovative with an evolving set of technologies. Keeping the network reliable ensures that our users stay connected with our suite of applications, products and services.

In this role, you will work at the intersection of global core network engineering and software engineering to build software solutions and introduce technologies. You will design and implement systems that directly enhance Google’s network reliability, reduce operational toil, and optimize global cost per byte.

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: $126000 - $181000 (USD) + 15% bonus target + equity + benefits