Google Inc.
Software Engineering Manager, Data Center Networks
Google Inc., Sunnyvale, California, United States, 94087
Software Engineering Manager, Data Center Networks
Google, Sunnyvale, CA, USA Apply Bachelor’s degree, or equivalent practical experience. 8 years of experience in software development. 3 years of experience in a technical leadership role; overseeing projects. 2 years of experience in a people management, supervision/team leadership role. Experience with Network Architecture and Distributed Systems. Preferred qualifications:
Master's degree or PhD in Computer Science or related technical field. 3 years of experience working in a complex, matrixed organization. Experience with Data Center Networking and Software Defined Networking (SDN). About the job
Like Google's own ambitions, the work of a Software Engineer (SWE) goes way beyond just Search. SWE Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a SWE Manager you manage your project goals, contribute to product strategy and help develop your team. SWE teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities
Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams. Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching. Ensure timely and high-quality execution of team projects, delivering robust, scalable, and efficient solutions that improve data center network performance and reliability. Lead and manage a team of software engineers responsible for the analytics and topology engineering aspects of Google's Data Center Networks. Provide technical guidance on the architecture, design, and implementation of algorithms and distributed systems for network topology optimization, performance evaluation, and simulation, with a focus on supporting large-scale Machine Learning workloads. 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.
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Google, Sunnyvale, CA, USA Apply Bachelor’s degree, or equivalent practical experience. 8 years of experience in software development. 3 years of experience in a technical leadership role; overseeing projects. 2 years of experience in a people management, supervision/team leadership role. Experience with Network Architecture and Distributed Systems. Preferred qualifications:
Master's degree or PhD in Computer Science or related technical field. 3 years of experience working in a complex, matrixed organization. Experience with Data Center Networking and Software Defined Networking (SDN). About the job
Like Google's own ambitions, the work of a Software Engineer (SWE) goes way beyond just Search. SWE Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a SWE Manager you manage your project goals, contribute to product strategy and help develop your team. SWE teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities
Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams. Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching. Ensure timely and high-quality execution of team projects, delivering robust, scalable, and efficient solutions that improve data center network performance and reliability. Lead and manage a team of software engineers responsible for the analytics and topology engineering aspects of Google's Data Center Networks. Provide technical guidance on the architecture, design, and implementation of algorithms and distributed systems for network topology optimization, performance evaluation, and simulation, with a focus on supporting large-scale Machine Learning workloads. 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.
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