The Staff Software Engineer/Tech Lead for ML Network Infrastructure at Google will lead the technical strategy and architecture for next-generation control planes and software infrastructure. This role focuses on building software for distributed services and components that power Google's ML network infrastructure. The engineer will work on critical projects that require collaboration across various teams and will mentor other engineers. The position emphasizes a passion for networking, control-plane software, and distributed systems.

• 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.

• 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.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.