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OpenAI

Builds AI models and the ChatGPT assistant

Field Service Engineer

Equipment Field ServiceConfirmed live in the last 24 hours
Full-timeRemote in USA$157k - $221k /yr

About the Job

Requirements

  • At least 8 years of hands-on experience supporting critical electrical, mechanical, or electromechanical infrastructure in data centers, industrial facilities, utilities, manufacturing, or similarly complex environments.
  • Deep technical expertise in either electrical or mechanical systems, with demonstrated ability to troubleshoot across electromechanical and controls boundaries.
  • Experience building, leading, or materially developing a field engineering, service, maintenance, or technician team.
  • Demonstrated success leading high-severity troubleshooting, root-cause analysis, corrective action, and reliability improvement.
  • Ability to read and use one-line diagrams, schematics, P&IDs, sequence-of-operations documents, control diagrams, equipment manuals, and commissioning records.
  • Strong safety judgment and experience working under formal energization, isolation, maintenance, and change-control procedures.
  • Ability to travel up to 50% and support planned or urgent field activity when required.
  • Bachelor's degree in engineering or a related technical field, or equivalent practical experience.

Responsibilities

  • Lead field support for startup, commissioning, troubleshooting, repair, and reliability improvement across critical data center infrastructure.
  • Serve as the senior technical owner for transformers, switchgear, UPS systems, generators, PDUs, protection and controls, chillers, cooling towers, pumps, CDUs, CRAH units, and associated control systems.
  • Diagnose complex failures across power, cooling, controls, and hardware interfaces; distinguish symptoms from root causes and drive corrective actions through validation.
  • Build the field service operating model, including staffing recommendations, coverage, escalation paths, response expectations, spare-parts strategy, documentation, and performance metrics.
  • Aid in hiring, development, and coaching other field service engineers and technicians while creating a culture of safety, technical rigor, accountability, and continuous learning.
  • Partner with design, construction, commissioning, site operations, and hardware teams to improve maintainability, readiness, and lifecycle reliability.
  • Manage OEM and service-provider relationships, technical escalations, repair plans, warranties, and sustained corrective action.
  • Establish and improve safe work practices, including lockout/tagout, switching and maintenance procedures, MOPs, SOPs, EOPs, and incident response.
  • Translate field learning into design feedback, preventive maintenance improvements, training, and reusable standards.

Desired Qualifications

  • Experience with hyperscale data centers, high-density compute infrastructure, or other mission-critical environments.
  • Experience bringing new sites from construction and commissioning into steady-state operations.
  • Working knowledge of BMS, EPMS, SCADA, PLC, or other infrastructure monitoring and controls platforms.
  • Experience establishing service programs, readiness criteria, technical training, or fleet-wide reliability standards.
  • Relevant electrical, mechanical, HVAC, controls, safety, or trade certifications.

About the Company

OpenAI

Builds AI models and the ChatGPT assistant

OpenAI researches and builds artificial intelligence models and turns them into products for people, developers, and businesses, with a stated mission of making sure artificial general intelligence benefits all of humanity. Its launch of ChatGPT in 2022 brought generative AI into everyday use. People use ChatGPT to ask questions, write, code, and analyze files, developers build OpenAI's models into their own apps through its API, and its Codex agent works through coding tasks on its own. OpenAI earns money from ChatGPT subscriptions, business plans, and API usage. Sam Altman, Elon Musk, and others co-founded it in 2015; it is based in San Francisco and overseen by a nonprofit, the OpenAI Foundation.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$207.5B
Headquarters
San Francisco, CA
Founded
2015

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