Staff Software Engineer, Data Center and AI Infrastructure
GoogleSunnyvale, California
Full-time
Salary
$207k–$300k/ annually
Free account to apply · application completed on Google
Salary
$207k–$300k/ annually
Free account to apply · application completed on Google
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 state of the art 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 high-impact 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).
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