[All remote jobs](https://jobicy.com/jobs.md)[![OpenAI logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2023/03/0523b13262b12c215d8009938f5c14f1.jpeg)](https://jobicy.com/company/openai.md)[OpenAI](https://jobicy.com/company/openai.md) # Critical Facilities Lead, Compute Infrastructure Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/openai.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 199k–302k / yrDepartment[DevOps & Infrastructure](https://jobicy.com/categories/admin.md)EmploymentFull TimeExperienceSeniorPublished23 Oct 2026Apply before22 Nov 2026Listing views30Application actions0Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. OpenAI is hiring a senior critical-facilities leader to commission, deploy, and operate large-scale AI data center infrastructure. The role connects construction, facility design, hardware deployment, and long-term operations for mission-critical campuses. Responsibilities include defining commissioning and bring-up processes, overseeing operational readiness, maintaining reliability, and managing liquid-cooling infrastructure. The successful candidate will bring more than 10 years of data center or critical-infrastructure experience and will establish repeatable procedures for maintenance, downtime response, and SLAs. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a highly senior infrastructure role involving reliability-critical, large-scale AI data centers and specialized liquid-cooling systems. It requires independent ownership across construction handoff, commissioning, hardware deployment, incident recovery, and long-term operations. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$250,500US market range (per year)$190k–$320k0$352k AI insightThe employer discloses a yearly base-compensation range of $199,000–$302,000 USD, with a midpoint of $250,500. The estimated US market range for a senior critical-facilities lead with large-scale data center commissioning and liquid-cooling expertise is $190,000–$320,000 per year; this is an AI estimate, not verified salary research. ## Core skills Skills and capabilities most closely associated with this opportunity. [Data center operations](https://jobicy.com/jobs?search_keywords=Data%20center%20operations.md)[Critical infrastructure](https://jobicy.com/jobs?search_keywords=Critical%20infrastructure.md)[Data center commissioning](https://jobicy.com/jobs?search_keywords=Data%20center%20commissioning.md)[Liquid cooling systems](https://jobicy.com/jobs?search_keywords=Liquid%20cooling%20systems.md)[CDU systems](https://jobicy.com/jobs?search_keywords=CDU%20systems.md)[Hardware deployment](https://jobicy.com/jobs?search_keywords=Hardware%20deployment.md)[Facilities maintenance](https://jobicy.com/jobs?search_keywords=Facilities%20maintenance.md)[Reliability engineering](https://jobicy.com/jobs?search_keywords=Reliability%20engineering.md)[Operational readiness](https://jobicy.com/jobs?search_keywords=Operational%20readiness.md)[Incident response](https://jobicy.com/jobs?search_keywords=Incident%20response.md)[SLA management](https://jobicy.com/jobs?search_keywords=SLA%20management.md)[Quality control](https://jobicy.com/jobs?search_keywords=Quality%20control.md)[Infrastructure process design](https://jobicy.com/jobs?search_keywords=Infrastructure%20process%20design.md)[Cross-functional collaboration](https://jobicy.com/jobs?search_keywords=Cross-functional%20collaboration.md) Sample interview questionsDescribe how you would develop a commissioning plan for a new AI data center using liquid cooling.I would begin by aligning the plan with design intent, equipment submittals, hardware-load requirements, and operational acceptance criteria. I would define staged functional tests for electrical, mechanical, controls, CDU, and manifold systems; document dependencies and rollback procedures; and use formal sign-off gates before progressing to hardware bring-up and sustained-load testing. How would you manage the transition from construction completion to steady-state facility operations? I would establish a structured handover process covering as-built documentation, asset records, test results, vendor warranties, spare parts, monitoring configuration, SOPs, MOPs, and EOPs. I would also validate staff readiness through drills and ensure that owners, escalation paths, SLAs, and preventive-maintenance schedules are in place before operational acceptance. What are the most important operational considerations for liquid-cooled IT infrastructure? Key considerations include coolant quality, leak detection, pressure and flow monitoring, CDU redundancy, manifold isolation, serviceability, alarm thresholds, and safe maintenance procedures. I would also ensure the cooling design and operating procedures are validated against hardware thermal requirements and failure scenarios. Tell us how you would respond to an unexpected critical-facility incident affecting compute capacity. I would first protect personnel and stabilize the affected systems using established emergency procedures. I would coordinate communications with hardware, facilities, and leadership teams, execute containment and recovery actions, document the timeline and impact, and lead a root-cause review that produces tracked corrective and preventive actions. How do you create repeatable operating processes across multiple data center campuses? I would standardize core operating artifacts such as commissioning templates, readiness checklists, monitoring requirements, maintenance standards, escalation matrices, and incident playbooks. I would allow controlled site-specific adaptations while using operational metrics, audits, and post-incident learning to continuously improve the common baseline. Opportunity details ## About this role. About the Team OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. The Infrastructure team is central to this mission, setting the core strategy and implementing the vision. From site selection to deployment to operations, this team sits at the intersection of commercial, technical, and operational domains, interacting with experts and executives inside and outside of OpenAI. We design and operate mission-critical facilities that support cutting-edge AI workloads at scale. About the Role We are seeking a Critical Facilities Lead to support the commissioning, deployment, and long-term operation of our next-generation AI data centers. This role bridges the interface between data center construction and hardware landing, ensuring seamless integration of mission-critical infrastructure with hardware deployment timelines. You will define and execute commissioning plans, support infrastructure bring-up, and take ownership of operations and maintenance for cutting-edge, large-scale, AI data centers. You will collaborate closely with design, construction, and hardware teams to define repeatable processes for new data center builds and lead hands-on operations to uphold the performance and reliability of our deployed infrastructure. Key Responsibilities * Define and execute sequences of operations, commissioning steps, and bring-up processes for mission-critical data center facilities. * Interface with the design and hardware teams to define deployment procedures tailored to each data center and hardware configuration. * Oversee installation, commissioning, and operational readiness of large-scale data center campuses. * Manage monitoring, maintenance, and quality control of the data center infrastructure, including high-performance liquid cooling systems. * Develop on-site operations staffing strategy. * Develop and enforce procedures for planed and unplanned downtime and SLAs for critical facility components. Qualifications * Have 10+ years of experience in large-scale data center facility operations, commissioning, or critical infrastructure engineering. * Are deeply familiar with liquid-cooled IT systems, including CDU and in-rack/in-row manifold design, bring-up, and servicing. * Enjoy defining and improving infrastructure processes at the intersection of construction, hardware, and operations. * Are comfortable owning infrastructure from deployment to long-term maintenance and failure recovery. * Have experience responding to field issues and managing reliability through well-defined operational processes. About OpenAI 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. For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf). 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 US-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. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241). [OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf) At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. 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