The opportunity
OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners.
What you'll do
Define controls, automation, and OT network requirements for AI data center campuses.
Develop reference architectures, engineering standards, and reusable design templates.
Review and develop basis-of-design and functional design documents, including: OT network diagrams, IP/VLAN schemes, telemetry architectures, data flow diagrams, and commissioning requirements.
Design OT and infrastructure network architectures, including physical: topology, logical topology, IP addressing, subnetting, VLANs, routing, switching, redundancy, segmentation, firewall policy coordination, out-of-band management, monitoring, and remote access patterns.
Develop day-two network operations requirements, including change management,: configuration backups, golden configurations, monitoring thresholds, firmware lifecycle, rollback plans, and post-change validation.
Partner with electrical, mechanical, IT/networking, security, and operations: teams to ensure OT network systems align with GPU deployments, campus-wide telemetry, and failure-domain isolation requirements.
What they're looking for
- Define integration patterns and protocol requirements across BACnet/IP,: BACnet MSTP, Modbus TCP/RTU, OPC UA, IEC-61850 MMS/GOOSE, MQTT, SNMP, syslog, NTP/PTP, IRIG-B, and vendor-specific interfaces.
- Lead technical evaluation of controls integrators, network equipment: suppliers, design consultants, contractors, and commissioning agents
- Review network equipment submittals, configurations, firmware assumptions,: certifications, test reports, and quality documentation.
- Support factory witnessed testing (FWT), site acceptance testing, network: readiness checks, failover testing, and integrated systems testing.
