Software Engineering Manager, Remote Direct Memory Access Networking

Manage the Remote Direct Memory Access (RDMA) Networking DataPath team of 10+ engineers to deliver high-impact networking solutions.Own the execution of cross-functional initiatives to deliver new offerings across Google Cloud and On-Premises AI/ML platforms.Design, develop, and operate hardware-offloaded low-latency transport protocols including RDMA Over Converged Ethernet (RoCE) and Falcon.Collaborate with team technical leads to establish short-term and long-term goals while driving roadmap innovations.Align the team's work and deliverables with customer demands and Google's strategic priorities.Minimum qualifications: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.Experience with computer architecture, debugging, performance analysis, and benchmarking.Experience with HPC systems hardware architecture, network interconnect technologies and topologies, and HPC storage file systems.Experience in low-level systems programming languages (e.g., C++ or C).Preferred qualifications:PhD in Computer Science or related fields.8 years of experience in individual contributor technical leadership designing systems focusing on quality, operability, scale, datapath, and performance.3 years of experience working in a complex, matrixed organization.Experience working close to hardware and leading technical teams.Experience in engineering management leading a team of 10 engineers.Experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering 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 Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. 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. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.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 channel 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 + benefitsLearn more about benefits at Google.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.Experience with computer architecture, debugging, performance analysis, and benchmarking.Experience with HPC systems hardware architecture, network interconnect technologies and topologies, and HPC storage file systems.Experience in low-level systems programming languages (e.g., C++ or C).