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 and working with stakeholders. 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture. 3 years of experience with software design and architecture. Preferred qualifications: Bachelor's or Master's degree in Computer Science, Engineering or related field. 10 years of experience in software development. 5 years of experience with full stack development, including backend distributed systems and experience in directly managing people. Experience in testing, and launching distributed systems, storage and related software products. Experience in programming languages like Golang and C++. Ability to manage a small team of 3-4 engineers as direct reports. Ability to act as a technical lead/manager for a team, supporting both their technical growth and career development. Excellent stakeholder management and communication skills. 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. We are looking for an experienced and passionate Staff Software Engineering to drive design, development, and operational excellence of network and machine modeling infrastructure. In this role, you will require back-end distributed systems expertise, excellent judgement, and strong stakeholder management skills. You will work closely with partner teams, external organizations, and engineers from various tool and infrastructure teams to understand needs, align road-maps, and ensure the modeling infrastructure meets the evolving demands of both networking and AI/ML landscape. Effectively working with geographically distributed teams is also a key aspect of this role. 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 - $301000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Lead, mentor, and develop a team of high-performing engineers who design and model the planet-scale networks powering Google's services and those of the Cloud customers. Define and drive the team's technical goal, strategy, and roadmap for Modeling Infrastructure, exercising strong technical judgment. Actively participate in and guide architectural and design decisions for scalable and reliable service deployments. Manage project priorities and resources effectively, ensure timely delivery of high-quality solutions in a fluid, ambiguous environment. Cultivate strong relationships and collaborate effectively with key stakeholders and a various set of user teams. Uphold high standards for system design, code quality, and operational excellence. Advocate best practices for managing and communicating within a remote/hybrid team structure.