Data Center Controls Network Engineer
OpenAI · San Francisco
CHECKED 23H AGO
Frontier labremotemid-senior$257k–$327k
At a glance
Highlights
- Design resilient OT networks powering high-density AI data centers.
- Define reference architectures for next-gen AI infrastructure campuses.
- Lead commissioning and testing across live data center deployments.
Ideal candidate
Hands-on OT engineer who thrives in mission-critical environments and loves turning complex power, cooling and compute needs into resilient, secure network designs. You enjoy field work, cross-functional partnership, and owning systems from design through commissioning.
Requirements
- 8+ years in controls engineering, industrial automation, OT networking, or mission-critical facilities
- Strong expertise in resilient OT network architecture, implementation and lifecycle support
- Hands-on Layer 3 OT design including routing, subnetting, VRFs, ACLs and segmentation
- Experience with OT/IT boundary, firewall policy, redundant topologies and out-of-band management
- Experience with industrial communication protocols and behavior across OT networks
- Experience with design documentation, commissioning, testing and root-cause analysis
- Bachelor's degree in Electrical, Computer, Network, Systems Engineering or related field
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets