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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.

We are seeking a senior electrical infrastructure engineer to lead the development of reliable, scalable, and efficient power architectures for high-density, liquid-cooled AI data centers.

The ideal candidate has strong practical experience with critical electrical systems at data centers or comparable industrial scale, including medium‑voltage and low‑voltage distribution, utility interfaces, backup power, UPS and battery systems, rack power delivery, grounding, protection, controls, and monitoring systems.

You should be comfortable moving between long‑range architecture, detailed engineering review, lab validation, vendor qualification, field deployment, and operational troubleshooting.

• 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.
• 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.
• Provide senior technical escalation support during design reviews, construction, manufacturing validation, commissioning, energization, deployment, and operational events.
• Raise the technical bar across partner teams in electrical design, safety, testing discipline, documentation quality, reliability, and operational rigor.

• 10+ years of electrical engineering experience in mission‑critical facilities such as data centers or comparable critical infrastructure.
• Bachelor’s degree in electrical engineering, power systems, or a related discipline.
• Strong hands‑on experience with MV/LV distribution, transformers, switchgear, switchboards, generators, UPS systems, batteries, PDUs, RPPs, busway, PSUs, grounding, bonding, and protection systems.
• Experience producing and reviewing electrical designs, studies, equipment specifications, commissioning plans, test procedures, and acceptance criteria.
• Experience leading FWTs, FATs, SATs, integrated systems testing, failure‑mode testing, and root‑cause investigations.
• Strong understanding of codes, standards, utility coordination, safety requirements, and AHJ processes.
• Ability to evaluate conflicting technical tradeoffs involving reliability, cost, schedule, constructability, maintainability, and scalability.
• Strong written and verbal communication skills with the ability to explain complex issues clearly to technical and non‑technical stakeholders.
• Comfortable operating in fast‑moving environments with incomplete information and changing priorities.

• 15+ years of relevant experience.
• Advanced degree in electrical engineering, power systems, or a related discipline.
• Professional Engineer license, Chartered Engineer status, or comparable professional certification.
• Direct experience with hyperscale data centers, GPU clusters, high‑density rack deployments, or liquid‑cooled compute environments.
• Experience qualifying new electrical products from prototype through certification, manufacturing ramp, deployment, and lifecycle support.
• Experience with BMS, EPMS, DCIM, SCADA, PLCs, protective relays, waveform capture, data historians, or reliability analytics platforms.
• Experience with modular power systems, rack‑level conversion, BESS, HVDC/LVDC, or other advanced power architectures.
• Experience managing global, multi‑site deployment programs or manufacturing quality programs.
• Familiarity with grid constraints, demand response, renewable integration, or low‑carbon infrastructure strategies.

• This role requires periodic travel to data center campuses, manufacturing partners, equipment suppliers, laboratories, construction sites, and commissioning activities.
• The person in this role should be comfortable working in office, lab, manufacturing, construction, and operating data center environments, including environments that require PPE, safety briefings, lockout/tagout discipline, and coordination with site operations.
• Work may include time‑sensitive technical escalations during commissioning, energization, production deployment, vendor testing, or operational incidents.

OpenAI is an AI research and deployment company dedicated to ensuring that general‑purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal‑opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for U.S.‑based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non‑public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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