Software Engineering Manager, Fabric Infrastructure

Google•Sunnyvale, CA

1d•$207,000 - $300,000

About The Position

The Software Engineering Manager combines technical leadership and engineering management to oversee mission-critical cluster networks, control plane infrastructure, ML training networks, and next-generation fabric innovations. The role guides engineers, project goals, and product strategy, and manages work across teams and locations. The team is modernizing infrastructure for customized large-customer networks, large-scale ML training networks, and accelerated customer support, while developing systems that operate at planetary scale. The AI and Infrastructure team delivers AI and infrastructure capabilities at scale, efficiency, reliability, and velocity for Google employees, Google Cloud customers, and Google users worldwide. Its work spans software and hardware, including AI models, computing platforms, TPUs, Vertex AI, Google Global Networking, data center operations, and systems research.

Requirements

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 designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.
Experience designing and developing relational databases, database internals, query processing, and query optimization.
Experience with networking protocols such as TCP/IP, BGP, or OSPF; network architectures; or cloud networking services such as VPCs, load balancers, or firewalls.

Nice To Haves

Master’s degree in Computer Science.
10 years of experience in software development.
3 years of experience as a team leader or manager with direct reports.
3 years of experience working in a complex, matrixed organization.
Experience in network architecture and common protocols such as TCP/IP, UDP, HTTP, or DNS.
Experience in SQL.

Responsibilities

Guide the architecture and roadmap for fabric availability, Network Deployment Integration Testing (NDIT), and Machine Learning (ML) fabrics mesh design and development.
Manage, mentor, and grow a team of high-performing engineers while fostering a high-execution culture.
Drive fabric availability, Service Level Objective (SLO) tracking, automated triaging and root cause analysis, and fabric bandwidth management.
Manage team execution on New Product Introductions (NPIs), including DiCoN and virgo mega fabrics, alongside multicast Software Defined Networking (SDN) apps.
Partner with network planning, cloud products, ML infrastructure teams, and system operators to ensure predictable bandwidth and support customized whale customer networks.