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Internet Services, Software, AI, Cloud Computing, Hardware

Senior Staff Software Engineer, Network Management

Sunnyvale, CAOnsiteFull TimeStaff$262,000–$364,000 /yrPosted 1 month agoVisa sponsorship available

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Required skills

  • C++
  • testing/launching software products
  • networking
  • systems infrastructure
  • large scale software solutions
  • automation systems
  • network lifecycle operations

Nice to have

  • Master’s degree
  • data structures
  • algorithms
  • technical leadership
  • project teams
  • technical direction

Role summary

Google is seeking a Senior Staff Software Engineer for its AI and Infrastructure team, focusing on Network Management. This role involves developing next-generation technologies at massive scale, contributing to AI models, computing power, and essential platforms. The engineer will provide technical leadership, coach distributed teams, and design, develop, test, deploy, and maintain large-scale software solutions. Responsibilities include working on automation systems for complex network lifecycle operations. The position requires strong programming skills, experience in design, architecture, testing, networking, and systems infrastructure.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++.
  • 5 years of experience with design and architecture; and testing/launching software products.
  • Experience in networking and systems infrastructure.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 5 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.
  • Experience in network infrastructure and software-defined networking.

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 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: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

  • Provide technical leadership on high-impact projects.
  • Influence and coach a distributed team of engineers.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
  • Design, develop, test, deploy, maintain, and enhance large scale software solutions.
  • Work on automation systems that execute complex network lifecycle operations such as expanding/upgrading/decommissioning network sub-components
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