Staff Software Engineer, Data Center and AI Infrastructure

Google•Sunnyvale, CA

22h•$207,000 - $300,000

About The Position

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/].

Requirements

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.

Nice To Haves

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).

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).