Software Engineer, Fabric Networking, CPN Scaling

Software Engineer, Fabric Networking, CPN Scaling Google Sunnyvale, CA, USA Qualifications Bachelor’s degree or equivalent practical experience. 2 years of experience with data center networking. 2 years of experience with C++. 2 years of experience with distributed systems. Preferred qualifications Master's degree or PhD in Computer Science, or a related technical field. 2 years of experience with C, C++, Python or Go. 2 years of experience in Unix/Linux environments. 2 years of experience in network engineering, operations, or 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. In this role, you will be responsible for growing and maintaining the control plane networking infrastructure that powers Google's data centers across the globe. This involves solving some of the hardest problems in distributed systems (scaling, availability, efficiency), ensuring network fundamentals. The Control Plane Networking (CPN) team is responsible for scaling the out-of-band infrastructure for network devices responsible for bootstrapping and ongoing management of Google's data centers. As part of this team, you will be actively working on key programs enabling networking scaling for ML spurred by recent AI growth. Responsibilities Lead the design and architecture of scalable network topologies, focusing on the integration of software control plane with physical network reality. Collaborate with hardware vendors to qualify new switch platforms and optical technologies. Drive requirements for next-generation hardware and ensure seamless integration with our software stack. Design and implement software systems that interact directly with routing protocols, with a focus on Border Gateway Protocol (BGP) attributes, path selection and peering strategies. Compensation The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. We are a global company and English proficiency is a requirement for all roles unless stated otherwise in the job posting. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . #J-18808-Ljbffr Google Inc.