The opportunity
The Core Network Engineering team owns the end-to-end networking stack that connects OpenAI’s compute infrastructure — spanning global WAN/edge connectivity, data-center networking, and high-performance host/xPU networking used for large-scale training and inference workloads.
What you'll do
Design, build, and operate networking systems that support large-scale AI: training and inference infrastructure
Improve performance, reliability, and scalability across host networking, datacenter fabrics, and WAN systems
Develop automation for provisioning, configuration management, validation,: upgrades, and lifecycle management of networking infrastructure
Build tooling and observability systems for network health, performance: analysis, debugging, and automated remediation
Optimize network performance across technologies such as RDMA, RoCE,: InfiniBand, Ethernet, and high-performance GPU interconnects
Define and operationalize networking protocols, readiness criteria, and continuous validation systems
What they're looking for
- Partner closely with compute, storage, hardware, and infrastructure teams to: ensure networking scales predictably with fleet growth
- Contribute to architecture decisions around topology design, capacity: planning, failure domains, and network reliability
- Diagnose complex distributed systems and networking issues across large heterogeneous compute environments
- Have experience building or operating large-scale networking or distributed systems infrastructure