Google

Staff Software Engineer, Data Center Network Switches

Google Sunnyvale, California, United States · $207K–$300K/yr

Software Development · 10,001+ employees

Oct 05
Principal (10+ yrs) Full-time United States
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About the role

You will lead the design, development, and deployment of software solutions for AI/ML networks, including programming data and control planes for large-scale infrastructure. Additionally, you will manage project priorities and collaborate on hardware and software systems to drive network performance.

What they look for

C++ Software design Network architecture Ethernet switching Data structures Algorithms Technical leadership AI/ML infrastructure Distributed computing System design Data plane Control plane Networking applications TPUs GPUs

Requirements

Candidates must have a bachelor's degree and at least 8 years of C++ programming experience, along with expertise in network architecture and software design. A master's or PhD is preferred, as is experience in technical leadership and complex, matrixed organizational environments.

Benefits

Bonus Equity Health Insurance

Full description

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++.
  • 5 years of experience testing, and launching software products.
  • 3 years of experience with software design and architecture.
  • Experience with network architecture, ethernet switching, software development and network 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.
  • 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.
  • Good understanding of modern AI/ML infrastructure, ideally including network architecture.

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:

  • Work on the latest AI/ML networks for TPUs and GPUs.
  • Work with hardware and software systems, programming the data plane and control plane for networking applications which drive the world's largest network infrastructure.
  • Manage individual project priorities, deadlines, and deliverables.
  • Lead the design, development, testing, deployment, maintenance and enhancement of software solutions.