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. As a Staff Engineer on the ML Network Infrastructure team, you'll set the technical strategy for Google's next-generation ML network fabrics. You will architect and build software for distributed services, abstractions, and the components of the system that operates and powers Google’s ML network infrastructure. You will be passionate about networking, control-plane software, and distributed systems, and enjoy working with both software and hardware across the full stack.
Responsibilities
Lead the technical strategy and architecture of next-generation control planes and software infrastructure for highly-available ML network fabrics.
Design and implement agentic SDLC, leveraging LLMs and automated workflows to streamline development aspects like triaging and testing.
Drive all aspects of development—from requirements definition to global deployment—upholding reliability standards for distributed networking systems.
Collaborate and drive architectural alignment across Networking Infrastructure and Cloud with senior engineers and product managers.
Mentor individual engineers, aligning long-term career goals with project priorities and business objectives.
Qualifications
Minimum
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.
3 years of experience with software design and architecture.
Preferred
Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
Experience with Data Center Networking, Software Defined Networking (SDN) architectures, and high-performance RPC frameworks.