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About the Role
As a Software Engineering Manager, you will combine technical leadership and engineering management to oversee mission-critical cluster networks, control plane infrastructure, ML training networks, and next-generation fabric innovations. You will guide the architecture and roadmap for fabric availability, Network Deployment Integration Testing (NDIT) and Machine Learning (ML) fabrics mesh design and development. You will manage, mentor, and grow a team of high-performing engineers while fostering a high-execution culture. You will drive fabric availability, Service Level Objective (SLO) tracking, automated triaging/root cause analysis, and fabric bandwidth management. You will manage the team to drive execution on New Product Introductions (NPIs) like DiCoN and virgo mega fabrics, alongside multicast Software Defined Networking (SDN) apps. You will partner closely with network planning, cloud products, ML infrastructure teams, and system operators to ensure predictable bandwidth and support customized whale customer networks.
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 high-execution culture.
- Drive fabric availability, Service Level Objective (SLO) tracking, automated triaging/root cause analysis, and fabric bandwidth management.
- Manage the team to drive execution on New Product Introductions (NPIs) like DiCoN and virgo mega fabrics, alongside multicast Software Defined Networking (SDN) apps.
- Partner closely with network planning, cloud products, ML infrastructure teams, and system operators to ensure predictable bandwidth and support customized whale customer networks.
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 (e.g., TCP/IP, BGP, OSPF), network architectures, or cloud networking services (e.g., VPCs, load balancers, firewalls).
Skills
- Scalability
- Fault tolerance
- Reliability
- Relational databases
- Database internals
- Query processing
- Query optimization
- Networking protocols
- Network architectures
- Cloud networking services
- ML network designs
- Agentic systems
- Distributed systems
- Cluster networks
- Control plane infrastructure
- ML training networks
- Fabric innovations
- Network Deployment Integration Testing (NDIT)
- Machine Learning (ML) fabrics mesh design
- Service Level Objective (SLO) tracking
- Automated triaging/root cause analysis
- Fabric bandwidth management
- New Product Introductions (NPIs)
- Multicast Software Defined Networking (SDN)
Location
- International
Work Type
- Full-time
Experience Level
- 8 years of experience in software development
- 3 years of experience in a technical leadership role
- 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
Education Level
- Bachelor’s degree or equivalent practical experience
- Master's degree in Computer Science
Salary/Compensations
- US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Benefits
- 20% bonus target
- Equity
- Benefits
About the Company
- 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 team behind Google's groundbreaking innovations, empowering the development of our 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.