Staff Software Engineer, Global Networking Technology

Google

Sunnyvale, CA, United States3w ago

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Key details

Salary
$207K–$300K/yr
Location
Sunnyvale, CA, United States
Work style
Onsite
Level
Senior
Experience
8–11 yrs
Function
Software engineering
Focus area
Backend
Posted
3w ago

Skills

algorithmsc++data structuresdistributed computinggenerative aigojavakotlinllmnatural language processingpythonsoftware architecturewan

About the role

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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Be the Subject Matter Expert on features used for Google WAN in network operating systems.
  • Drive open config adoption across the GNT platforms and across industry.
  • Design and develop infrastructure for running network applications in a decentralized manner.
  • Design and develop new and innovative network applications that will have direct and material impact on Google’s network behavior.
  • Work with the broader ecosystem on validating features from vendors and delivering high quality solutions.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++, Java, Python, Kotlin or Go.
  • 5 years of experience testing, and launching software products.
  • 3 years of experience with software design and architecture.
  • Experience integrating generative AI tools or LLM interfaces into workflows.
  • Experience with design and delivery of network and routing software.

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.
  • 3 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.
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++, Java, Python, Kotlin or Go.
  • 5 years of experience testing, and launching software products.
  • 3 years of experience with software design and architecture.
  • Experience integrating generative AI tools or LLM interfaces into workflows.
  • Experience with design and delivery of network and routing software.
In most instances, this position requires in-person interviews as part of the hiring process.

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