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.
- 5 years of experience building and developing large-scale infrastructure, distributed systems or networks.
- 3 years of experience with software design and architecture.
Preferred qualifications:- 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.
About the jobAs 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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) 20% bonus target equity benefits
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.
