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  7. Staff Software Engineer, Data Center and AI Infrastructure
Google logo

Staff Software Engineer, Data Center and AI Infrastructure

Google·Sunnyvale, California
Full-time

Salary

$207k–$300k/ annually

Posted today

Application completed on Google

About This Role

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.

* 5 years of experience building and developing large-scale infrastructure,

distributed systems or networks, or experience with compute technologies,

storage, or hardware architecture.

* Experience in problem management, problem-solving, network architecture, and

network design.

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.

* Knowledge of Linux user space development and multi-threading development.

* Knowledge of networking protocol, embedded software development and Software

Defined Networking (SDN).

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.

Our team's mission is to deliver high-performance, resilient switch software

powering Google's data center and AI infrastructure.

Our team is responsible for developing and maintaining the switch operation

system deployed in every Google data center. You will be directly contributing

in supporting the growth of Gemini and Google cloud business. You will also be

engaging in the technology in hardware (switching ASIC and optics) and software

to shape the future of the global network.

In this role, you will be building software for switches that power the world's

largest AI infrastructure, from data center fabrics, to wide area networks, to

the peering edge of our infrastructure.

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

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Provide technical leadership on projects.

* Influence and coach a distributed team of engineers.

* Scale and performance tuning of a large-scale network.

* Design, develop, test, deploy, maintain and improve switch software.

* Work on projects enabling AI networking infrastructure, enabling high

performing fabrics for Tensor Processing Units (TPUs) and Graphics Processing

Units (GPUs).

Required Skills

C++Distributed systemsNetwork architectureSoftware defined networkingLinuxMulti-threadingData structuresAlgorithmsEmbedded software developmentProblem managementSwitch softwareInfrastructure developmentPerformance tuningTechnical leadershipHardware architecture

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Quick Facts

Location
Sunnyvale, California
Employment
Full-time
Category
Network Engineer
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