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Data Center Controls Network Engineer

OpenAI · San Francisco

CHECKED 23H AGO

Frontier labremotemid-senior$257k–$327k
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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
More about OpenAI →
Apply on the lab’s site ↗