Data Center Infrastructure Electrical EngineerActive$257K–$327K

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

  • Design and optimize electrical topologies and equipment strategies that: reduce cost, accelerate schedules, improve efficiency, increase scalability, and maintain high reliability and maintainability.

  • Review and develop basis-of-design documents, single-line diagrams, equipment: specifications, commissioning plans, and power system studies including load flow, short circuit, protection coordination, arc flash, and grid transient compliance.

  • Lead technical evaluation of equipment vendors, manufacturers, design: consultants, commissioning agents, contractors, and test labs. Review submittals, schematics, certifications, quality records, and test reports.

  • Evaluate AC and DC power distribution options for high-density compute,: including rectifier architectures, busway, rack power shelves, power supplies, cable management, redundancy strategies, serviceability, and fault isolation.

  • Partner with mechanical, cooling, controls, hardware, networking,: construction, and operations teams to ensure electrical systems support liquid-cooled GPU rack deployments and reliable facility operation.

  • Drive FAT, SAT, witness testing, burn-in, reliability testing,: interoperability testing, and integrated systems testing for critical infrastructure and rack deployments.

What they're looking for

  • Help guide and operate an R&D program to validate new equipment, rack: designs, telemetry, operating envelopes, failure scenarios, and facility-to-hardware interactions.
  • Define telemetry and controls requirements including metering, waveform: capture, breaker and relay status, UPS and battery health, generator status, rack power, CDU status, coolant conditions, alarms, and control states.
  • Analyze lab data, operational incidents, power quality events, nuisance: trips, thermal excursions, controls alarms, and rack-level failures to improve designs, procedures, vendor quality, and reliability models.
  • Create engineering standards, test procedures, commissioning scripts,: operating procedures, decision records, risk registers, and concise executive summaries.