AI Infrastructure Network Operations Engineer

OpenAI; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

OpenAI is seeking an Infrastructure Operations Engineer to operate and improve large-scale Ethernet fabrics supporting GPU clusters, storage, and management infrastructure. The role blends hands-on production operations with automation, observability, and incident response across a global AI network.

You will partner with architecture, deployment, and engineering teams to raise reliability, perform RCA, and automate repetitive tasks with Python to reduce toil and improve efficiency.

Qualifications

• 5+ years operating large-scale data center/network infrastructure.
• Experience with high-availability production networks.
• Hands-on with Layer 2/3, BGP/OSPF/ECMP, and VLANs.
• Experience with network upgrades, changes, and RCA.

Responsibilities

• Own the health, availability, and reliability of production AI network infrastructure.
• Monitor, troubleshoot, and resolve incidents while meeting SLOs.
• Operate large-scale Ethernet fabrics for GPU compute, storage, and management networks.
• Execute changes, maintenance, and capacity expansions with minimal impact.
• Manage hardware lifecycle and preventive maintenance.
• Support new AI cluster deployments and data center migrations.
• Partner with CSPs, colocation, and hardware vendors.
• Perform RCA and drive permanent corrective actions.

Skills

Network operations

Troubleshooting

Automation with Python

Observability & monitoring

On-call readiness

Education

Bachelor’s degree in CS/Engineering

Equivalent practical experience

Tools

Cisco NX-OS

Arista EOS

NVIDIA Spectrum

Juniper JunOS

Prometheus

Grafana

Terraform

Git

Job description

OpenAI is seeking an Infrastructure Operations Engineer to operate and improve large-scale Ethernet fabrics supporting GPU clusters, storage, and management infrastructure. The role blends hands-on production operations with automation, observability, and incident response across a global AI network.

You will partner with architecture, deployment, and engineering teams to raise reliability, perform RCA, and automate repetitive tasks with Python to reduce toil and improve efficiency.