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OpenAI

About the Team
 
Security is foundational to OpenAI’s mission of ensuring that artificial general intelligence benefits all of humanity. As OpenAI builds and operates increasingly powerful systems, security helps make that progress durable, trustworthy, and resilient.
 
The Security team protects OpenAI’s technology, people, and products, but our role goes beyond defense alone. We help enable the infrastructure, research, and product work that powers frontier AI, bringing deep technical judgment and hands-on operational execution to some of the most important systems being built today. Our work is grounded in impact, pragmatism, and preparing for the security challenges that come with increasingly capable technology.
 
About the Role
 
We are seeking an experienced and highly technical Data Center Security Engineer to help secure the infrastructure behind OpenAI’s rapidly expanding data center footprint. This is a chance to work on high-consequence systems at the intersection of cybersecurity, critical infrastructure, and advanced AI, where strong technical judgment and careful execution have direct, lasting impact.
 
In this role, you will operate with substantial agency and ownership alongside a small team of data center security experts, driving security architecture, control validation, and defensive improvements across multiple, diverse environments, with particular emphasis on IT, Enterprise, ICS and Operational Technology (OT) networking. You will help define and raise the security bar for infrastructure programs already in flight while shaping how future deployments are secured from the start.
 
This role's preferred location is one of our OpenAI offices in San Francisco, Seattle, or New York City and relocation assistance is available. We are also open to considering candidates who are remote.
 
In this role, you will: 
Design and implement security controls that protect data center infrastructure across a growing global footprint, with particular focus on both OT and IT networking environments.
 
Partner closely with a small team of data center security specialists, as well as engineering, operations, and broader security teams, to deliver resilient and practical security outcomes.
 
Secure OT and IT networking environments through strong segmentation, access control, monitoring, hardening, and connectivity patterns suited to critical infrastructure.
 
Contribute to security architecture and design reviews for data center systems, including OT and IT networking, network segmentation, identity and access management, provisioning workflows, hardware and firmware trust boundaries, and operational safeguards.
 
Perform recurring audits, control assessments, and validation activities across OT and IT networking environments to ensure continued compliance against defined controls.
 
Drive ongoing evidence collection, gap tracking, and remediation follow-through so control deficiencies are identified quickly and closed durably.
 
Help define measurable security standards, control objectives, audit procedures, evidence requirements, and validation mechanisms for infrastructure and facility security programs.
 
Support security monitoring, incident response, and post-incident improvement efforts for data center, OT, and IT networking environments.
 
Work with suppliers, partners, and internal stakeholders to evaluate and reduce risks associated with third-party hardware, firmware, software, and operational dependencies.
 
Continually evolve the security of our data centers alongside changes in adversary activity, infrastructure complexity, and the increasing demands of OpenAI’s systems.
 
You might thrive in this role if you have: 
15+ years of experience in security, including meaningful hands-on experience securing large-scale infrastructure, industrial environments, or data center systems.
 
Deep expertise securing OT and IT networking environments in critical infrastructure settings, including segmentation strategies, remote access controls, asset visibility, and compensating controls for operational constraints.
 
Experience building audit or assurance programs that validate ongoing compliance with defined security controls, especially across OT and IT networking environments, rather than relying on one-time point-in-time reviews.
 
Strong cross-functional collaboration skills including the ability to partner effectively with internal and external stakeholders while operating with a high degree of autonomy.
 
Strong knowledge of security engineering and operations across network security, IAM and PAM, hardening, provisioning, monitoring, incident response, and secure lifecycle practices.
 
Experience protecting hyperscale, colocation, or hybrid infrastructure environments against sophisticated adversaries.
 
Familiarity with control and governance frameworks such as NIST, ISO 27001, or SOC 2, and the ability to translate them into concrete technical and operational requirements.
 
The ability to operate as a high-ownership individual contributor who influences through technical judgment, collaboration, and execution.
 
Clear written and verbal communication skills, including the ability to explain risk, controls, and tradeoffs to both technical and non-technical partners.
 
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
 
.
 
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
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
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.
 
Compensation
 
$234.4K – $385K + Offers Equity • Multiple Ranges

Data Center Security Engineer

About the Team
 
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.
 
As a Data Center Infrastructure Mechanical Engineer, you will help design, validate, and scale the cooling and mechanical systems that make high-density AI compute possible. You will work across thermal architecture, equipment development, manufacturing validation, construction, commissioning, deployment, and operations, partnering with research, hardware engineering, data center engineering, supply chain, EHS, operations, and external delivery partners.
 
About The Role
 
We are seeking a senior mechanical infrastructure engineer to lead the development of reliable, efficient, safe, and scalable thermal architectures for high-density, liquid-cooled AI data centers. This role is ideal for someone who can translate evolving compute and rack-level thermal requirements into practical infrastructure designs, evaluate complex equipment and vendor solutions, and drive technical decisions across facilities, hardware, controls, telemetry, testing, commissioning, and operations.
 
The ideal candidate has deep hands-on experience with mission-critical mechanical systems at data center or comparable critical infrastructure scale, including chilled water plants, condenser water systems, cooling towers, dry coolers, pumps, heat exchangers, CDUs, manifolds, CRAHs, air handlers, filtration, water treatment, controls, liquid distribution, and high-density rack cooling interfaces.
 
Key Responsibilities
 
Define mechanical and cooling infrastructure requirements and reference architectures for AI data center campuses, including heat rejection, chilled water, condenser water, liquid cooling distribution, air handling, containment, filtration, water treatment, controls, and metering.
 
Review and develop basis-of-design documents, design narratives, P&IDs, mechanical schedules, equipment specifications, thermal capacity models, hydraulic models, CFD analysis, controls sequences, and commissioning requirements.
 
Evaluate mechanical architectures for high-density compute, including direct-to-chip liquid cooling, CDU topology, facility water interfaces, manifolds, quick disconnects, hoses, heat exchangers, pumping strategies, leak detection, serviceability, and failure isolation.
 
Partner with electrical, controls, hardware, networking, construction, and operations teams to ensure cooling systems support liquid-cooled GPU rack deployments and reliable facility operation.
 
Develop technical specifications and acceptance criteria for chillers, cooling towers, dry coolers, evaporative coolers, pumps, heat exchangers, CDUs, manifolds, valves, filters, water treatment systems, CRAHs, air handlers, VFDs, controls panels, sensors, and monitoring devices.
 
Lead technical evaluation of equipment vendors, manufacturers, design consultants, commissioning agents, contractors, and testing laboratories; review submittals, P&IDs, control diagrams, performance curves, test reports, certifications, and quality documentation.
 
Drive factory acceptance testing, site acceptance testing, witness testing, pressure testing, leak testing, thermal performance testing, reliability testing, interoperability testing, and integrated systems testing for critical equipment and high-density rack deployments.
 
Help design and operate a hardware and data center infrastructure R&D laboratory used to validate new cooling equipment, liquid-cooled GPU rack designs, operating envelopes, fault scenarios, telemetry, and facility-hardware interactions.
 
Collaborate with hardware manufacturers to evaluate L10 and L11 test procedures, yield, throughput, reliability, serviceability, and readiness for large-scale deployment.
 
Define telemetry and controls requirements for mechanical and supporting electrical systems, including temperatures, flow rates, differential pressure, pump status, valve position, chiller status, CDU status, coolant quality, leak detection, alarms, control states, and rack-level thermal signals.
 
Analyze lab data, operational incidents, thermal excursions, flow excursions, pressure excursions, leak events, contamination events, nuisance alarms, controls alarms, and rack-level thermal failures to improve designs, procedures, vendor quality, and reliability models.
 
Create clear engineering documentation, standards, test procedures, commissioning scripts, operating procedures, decision records, risk registers, and executive-ready technical summaries.
 
Provide senior technical escalation support during design reviews, construction, manufacturing validation, commissioning, startup, production deployment, vendor testing, and operational events.
 
Mentor partner teams and raise the technical bar for mechanical design, thermal validation, safety, water quality, documentation, reliability, and operational rigor.
 
Required Qualifications
 
Extensive senior-level experience in data center mechanical engineering, mission-critical facilities, high-performance computing infrastructure, thermal systems, or comparable critical infrastructure environments, typically gained through 10+ years of relevant work or equivalent depth of experience.
 
Deep expertise in mechanical design, commissioning, operations, maintenance, reliability, and lifecycle management at large campus or multi-site scale.
 
Hands-on experience with chilled water systems, condenser water systems, process cooling water, cooling towers, dry coolers, evaporative cooling, pumps, heat exchangers, CDUs, manifolds, CRAHs, air handlers, filtration, water treatment, valves, piping, controls, and monitoring systems.
 
Experience designing, testing, certifying, commissioning, or operating equipment used in high-density compute or mission-critical environments, including liquid cooling systems, CDUs, high-flow hydronic systems, heat exchangers, rack manifolds, quick disconnects, and thermal monitoring systems.
 
Experience reviewing and producing technical design packages, equipment specifications, design narratives, sequence-of-operations, CFD or hydraulic studies, test plans, commissioning scripts, operating procedures, and acceptance criteria.
 
Proven ability to evaluate and manage external engineering firms, equipment manufacturers, construction partners, commissioning providers, testing laboratories, and strategic suppliers.
 
Strong understanding of product safety, agency certification, mechanical code compliance, pressure safety, environmental requirements, AHJ coordination, utility requirements, water quality programs, and standards relevant to critical mechanical infrastructure.
 
Experience with factory acceptance testing, site acceptance testing, integrated systems testing, leak testing, pressure testing, thermal performance testing, failure-mode testing, root-cause analysis, and corrective-action management.
 
Ability to use data, models, field observations, and engineering judgment to make decisions under ambiguity and communicate risk clearly to technical and non-technical stakeholders.
 
Bachelor's degree in Mechanical Engineering, Electrical Engineering, Systems Engineering, or a related technical field, or equivalent practical experience.
 
Preferred Qualifications
 
Advanced degree in mechanical engineering, thermal sciences, fluid mechanics, systems engineering, or a related discipline.
 
Professional Engineer license, Chartered Engineer status, or comparable professional certification.
 
Direct experience with AI infrastructure, hyperscale data centers, HPC clusters, GPU rack deployments, direct-to-chip liquid cooling, immersion cooling, or high-density rack thermal design.
 
Experience with high-density liquid cooling architectures, CDU qualification, facility water interface specifications, coolant chemistry, leak detection, quick disconnects, rack manifolds, cold plates, and thermal controls for accelerated compute.
 
Experience qualifying new mechanical or thermal products from concept through prototype, certification, manufacturing ramp, field deployment, and lifecycle support.
 
Experience evaluating L10 and L11 manufacturing test validation procedures, yield, throughput, burn-in, reliability screens, and test coverage for liquid-cooled GPU racks or similar complex systems.
 
Experience with BMS, EPMS, DCIM, SCADA, PLCs, chiller controls, pump controls, CDU controls, data historians, digital twins, CFD model validation, and reliability analytics.
 
Experience managing global, multi-site equipment manufacturing programs or data center programs across matrixed organizations and partner ecosystems.
 
Familiarity with sustainability, energy efficiency, PUE, WUE, CUE, water stewardship, grid constraints, demand response, renewable energy integration, heat reuse, and low-carbon infrastructure design considerations.
 
Work Environment and Travel
 
This role may require periodic travel to data center campuses, manufacturing partners, equipment suppliers, laboratories, construction sites, and commissioning activities.
 
The engineer should be comfortable working in office, lab, manufacturing, construction, and operating data center environments, including environments that require PPE, safety briefings, lockout/tagout discipline, water or chemical handling discipline, and coordination with site operations.
 
Work may include time-sensitive technical escalations during commissioning, startup, production deployment, vendor testing, leak events, thermal events, water treatment events, or operational incidents.
 
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
 
.
 
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
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
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.
 
Compensation
 
$257K – $327K + Offers Equity

Data Center Infrastructure Mechanical Engineer

About the Team
 
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.
 
As a Data Center Infrastructure Electrical Engineer, you will help define, validate, and scale the electrical power systems that support high-density AI compute. You will translate evolving compute requirements into practical facility and rack-power architectures, evaluate new technologies and vendor solutions, and drive technical decisions across design, manufacturing validation, construction, commissioning, deployment, and operations.
 
This role is best suited for a senior hands-on engineer with deep experience in mission-critical power systems, strong judgment under ambiguity, and the ability to connect facility infrastructure, hardware requirements, controls, telemetry, reliability, and operations.
 
About the Role
 
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.
 
Key Responsibilities
 
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.s
 
Qualifications
 
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.
 
Preferred Skills
 
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.
 
Work Environment and Travel
 
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.
 
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
 
.
 
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
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
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.
 
Compensation
 
$257K – $327K + Offers Equity

Data Center Infrastructure Electrical Engineer

About the Team
 
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.
 
As a Data Center Infrastructure Engineering Program Manager, you will help turn complex infrastructure strategy into executable programs across electrical, mechanical, controls, network, hardware, construction, commissioning, deployment, and operations workstreams. You will partner with research, hardware engineering, data center engineering, site development, supply chain, security, EHS, finance, legal, operations, and external delivery partners to bring OpenAI's infrastructure vision to life.
 
About the Role
 
We are looking for an Engineering Program Manager (EPM) to lead assigned infrastructure programs focused on production and non-production network integration, controls coordination, and the design and deployment of data hall or whitespace facilities.
 
The EPM will support functional Directly Responsible Individuals (DRIs) across network, controls, structural, electrical, and mechanical disciplines. Key responsibilities include coordinating assigned workstreams and program controls, maintaining risks and interfaces, and supporting readiness within the network and data hall deployment track.
 
The ideal candidate thrives on bringing structure to complex environments characterized by ambiguous technical requirements, large partner ecosystems, tight deadlines, and high operational stakes. This individual must be adept at keeping teams aligned on decisions, risks, dependencies, schedules, and readiness criteria, and escalating gaps or decision points when needed.
 
Candidates should have a proven track record of managing technically challenging engineering programs across major lifecycle phases, including design, validation, procurement, construction, commissioning, deployment, and operational handoff.
 
Key Responsibilities
 
Translate assigned infrastructure goals into clear workstream charters, scopes, milestones, owners, decision points, success metrics, resourcing assumptions, and execution plans.
 
​​Build and maintain integrated execution plans for assigned programs covering network, controls, data hall design, whitespace deployment, commissioning preparation, and deployment readiness.
 
Support coordination across network, controls, structural, electrical, mechanical, hardware integration, construction, commissioning, and operations teams.
 
Work with third-party design teams to define design milestones from concept through detailed design, including basis-of-design development, requirements tracking, design reviews, technical comment resolution, change management, and release readiness.
 
Maintain the dependency map, issue log, risk register, action tracker, and decision log for assigned network and data hall workstreams.
 
Coordinate design and review milestones for network rooms, non-production network services, OT / IT interface points, rack deployment assumptions, telemetry interfaces, controls dependencies, and data hall deployment packages.
 
Track building-level network and support-space interfaces such as MPOE, MMR, Network Core, WAN, support rooms, and associated handoff points where they affect assigned programs.
 
Support the network and controls DRIs by organizing reviews, resolving cross-discipline gaps, surfacing decisions, and keeping partner deliverables aligned to schedule.
 
Manage partner and vendor deliverables such as submittals, interface packages, installation assumptions, turn-up plans, readiness evidence, field issue logs, and corrective action tracking.
 
Drive readiness tracking for assigned 1P, 3P, colo, and selected CSP programs, including bring-up sequencing, installation readiness, access dependencies, maintenance windows, and first-use criteria.
 
Prepare clear status updates, dashboards, and executive-ready summaries for the Industrial Compute lead and project stakeholders.
 
Capture lessons learned from deployment and handoff activities and feed them back into playbooks, standards, and interface definitions.
 
Qualifications
 
Extensive experience in engineering program management, technical program management, mission-critical infrastructure delivery, data center deployment, or comparable complex execution environments, typically gained through 10+ years of relevant work or equivalent depth of experience.
 
Proven ability to operate within ambiguous, cross-functional engineering programs with shifting requirements, urgent timelines, and high-stakes operational risk, driving from concept through design, validation, procurement, construction, commissioning, deployment, and operations.
 
Proven experience coordinating cross-functional programs that include network, controls, mechanical, electrical, structural, construction, commissioning, or operations participants.
 
Strong technical fluency in at least several of the following areas: data hall deployment, non-production network, production network interfaces, controls coordination, telemetry, rack deployment, mission-critical support spaces, and infrastructure handoff.
 
Experience building and maintaining integrated schedules, dependency maps, risk registers, decision logs, readiness trackers, and partner action plans.
 
Experience coordinating external partners, vendors, design firms, delivery teams, or operators in a multi-party infrastructure environment.
 
Ability to understand complex technical tradeoffs, ask strong questions, identify hidden dependencies, and help teams move toward clear decisions without needing to be the sole technical owner.
 
Excellent written and verbal communication skills, with the ability to produce crisp status reporting and drive action across matrixed teams.
 
Bachelor's degree in Engineering, Computer Science, Construction Management, Operations, Business, or a related technical or quantitative field, or equivalent practical experience.
 
Preferred Skills
 
Direct experience with hyperscale data centers, AI infrastructure, HPC environments, colocation, or partner-delivered data center programs.
 
Experience supporting high-density data hall or HAC-related design and deployment efforts.
 
Experience with non-production network and support-service readiness for large-scale infrastructure deployments.
 
Experience coordinating controls integration, network-room layouts, telemetry interfaces, rack deployment packages, or early operational handoff.
 
Comfort with technical documentation such as one-line diagrams, P&IDs, controls sequences, network diagrams, equipment specifications, interface control documents, telemetry schemas, test procedures, and commissioning scripts.
 
Familiarity with 1P, 3P, colocation, and cloud service provider delivery models and the differing owner-partner interface expectations in each.
 
Work Environment and Travel
 
This role may require periodic travel to data center campuses, manufacturing partners, equipment suppliers, laboratories, construction sites, commissioning activities, and partner program reviews.
 
The program manager should be comfortable working across office, lab, manufacturing, construction, and operating data center environments, including environments that require PPE, safety briefings, change-control discipline, and coordination with site operations.
 
Work may include time-sensitive escalations during design reviews, procurement, manufacturing validation, commissioning, startup, production deployment, vendor testing, operational readiness, or operational incidents.
 
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
 
.
 
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
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
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.
 
Compensation
 
$257K – $327K

Data Center Infrastructure Engineering Program Manager (Network and Whitespace)

FluidStack

<div><div><div>San Francisco,Austin, TX,New York, NY,U.S. Remote
 </div></div><div>Full Time</div></div>
 <div><h1 class="jobSectionHeader">About Fluidstack</h1>
At Fluidstack, we build the compute, data centers, and power that will fuel artificial superintelligence. We supply GWs of compute capabilities to the world&rsquo;s biggest AI Labs at industry-defining speeds.
Our team is small, fast, and obsessed with quality. We own outcomes end-to-end, challenge assumptions, and treat our customers' problems as our own. No task is beneath anyone here.
There are a few thousand people who will shape the trajectory of superintelligence. Come and be one of them.
<h2 class="jobSectionHeader">About the Role</h2>
The DC Infrastructure Architect (Optical) is responsible for translating logical network topologies into a scalable, resilient, and cost-optimized optical and structured cabling design for hyper-scale data centers. This role owns the end-to-end physical implementation of the data center network (DCN), including fiber plant architecture, transceiver planning, and integration with structured cabling ecosystems.
<h2 class="jobSectionHeader">Focus</h2>
<ul><li>Logical / Physical Mapping
<ul><li>Break down DCN logical port maps (TOR, spine, super-spine, DCI) into physical cross-connect and patching schedules.
</li><li>Automate port-to-fiber mapping at scale (100K+ ports per site).
</li></ul></li><li>Fiber Plant Design
<ul><li>Define cassette types (MTP/MPO Base-8/12/16), trunk counts, and structured cabling hierarchy.
</li><li>Plan cassette placement within racks, rows, and meet-me-rooms.
</li><li>Model fiber utilization and overbuild for 2&ndash;3 hardware generations.
</li></ul></li><li>Optics / Transceiver Planning
<ul><li>Select optics (400G/800G DR4, FR4, LR4, SR8, coherent DCI) based on reach and loss budget.
</li><li>Validate interoperability across vendors and generations.
</li><li>Maintain loss budget and margin models for every link type.
</li></ul></li><li>Structured Cabling &amp; Physical Implementation
<ul><li>Define patching architectures (direct MPO vs. breakout vs. mid-span).
</li><li>Ensure pathways (ladder racks, underfloor, ODFs) scale with fiber density.
</li><li>Establish standards for labeling, documentation, and change management.
</li></ul></li><li>Scalability &amp; Lifecycle Management
<ul><li>Build modular designs for pod/rack growth.
</li><li>Anticipate transition to higher-speed optics (e.g., 400G 800G 1.6T).
</li><li>Integrate with DCIM (NetBox, custom tools) to track strands, ports, and patching.
</li></ul></li></ul><h2 class="jobSectionHeader">About You</h2>
<ul><li>Proven experience designing hyperscale or cloud provider data center networks (1000+ racks, 100K+ fiber strands).
</li><li>Expert in structured cabling systems (Corning, Panduit, CommScope) and MPO/MTP ecosystems.
</li><li>Deep knowledge of optical standards (IEEE 802.3, OIF) and transceiver technologies (400G/800G DR4, FR4, LR4, SR8).
</li><li>Strong grasp of fiber loss budgets, dispersion, and testing methodologies (OTDR, insertion loss, polarity verification).
</li><li>Experience integrating designs into DCIM tools (NetBox, Remedy, custom hyperscaler equivalents).
</li></ul><h2 class="jobSectionHeader">Salary &amp; Benefits</h2>
<ul><li>Competitive total compensation package (salary + equity).
</li><li>Retirement or pension plan, in line with local norms.
</li><li>Health, dental, and vision insurance.
</li><li>Generous PTO policy, in line with local norms.
</li></ul>The base salary range for this position is $200,000 - $300,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options.
We are committed to pay equity and transparency.
Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application- someone from our recruiting team will be in touch.</div>

Data Center Infrastructure Architect

YO IT Consulting

<div>
 
 Job Title:
 
 Data Engineer
 
 
 
 Job Type:
 
 Contractor
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary
 
 
 
 We are seeking an expert Data Engineer to join our customer&rsquo;s team and play a pivotal role in developing next-generation AI agents. In this fully remote role, you will leverage your strong data engineering, coding, and AI/ML expertise to help train and optimize advanced AI systems. Collaborate with talented professionals in a dynamic environment where your technical skills and innovative mindset will directly impact the project's success.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and manage data pipelines to support complex AI agent training initiatives.
 </li>
 <li>
 Collaborate closely with AI/ML engineers to ensure efficient data flows and high-quality training datasets.
 </li>
 <li>
 Develop and maintain scalable ETL processes using Python, MySQL, and PostgreSQL.
 </li>
 <li>
 Utilize JAVA and JavaScript to integrate diverse data sources and enable seamless data exchange.
 </li>
 <li>
 Contribute to the optimization of AI models through effective data engineering practices.
 </li>
 <li>
 Document data processes comprehensively and communicate technical concepts clearly to both technical and non-technical stakeholders.
 </li>
 <li>
 Troubleshoot and resolve data issues, ensuring data integrity and reliability for AI applications.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 3+ years of hands-on experience as a Data Engineer, with proven expertise in AI/ML projects.
 </li>
 <li>
 Advanced proficiency in Python, MySQL, PostgreSQL, JAVA, and JavaScript.
 </li>
 <li>
 Strong understanding of AI concepts and experience in training AI agents.
 </li>
 <li>
 Exceptional written and verbal communication skills, with a focus on clarity and collaboration.
 </li>
 <li>
 Experience implementing robust data pipelines and scalable architecture for machine learning projects.
 </li>
 <li>
 Self-motivated, detail-oriented, and able to thrive in a fully remote team environment.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in a related field.
 </li>
 <li>
 Direct experience with AI agent frameworks and real-world deployment projects.
 </li>
 <li>
 Previous work in fast-paced startup or innovation-driven environments.
 </li>
 </ul>
</div>

Data Engineer - Remote

Apple

Do you have a passion for invention and self-challenge? Do you thrive on pushing the limits of what&rsquo;s considered feasible? As part of a world class modem team, you&rsquo;ll craft sophisticated leading-edge embedded firmware that deliver more performance in our products than ever before. You&rsquo;ll work across disciplines to transform improved hardware elements into a single, integrated design. 
 
Join us, and you&rsquo;ll help us innovate new wireless systems technologies that continually outperform the previous iterations. By collaborating with other product development groups across Apple, you&rsquo;ll push the industry boundaries of what wireless systems can do and improve the product experience for our customers across the world. Do you want to have an impact on every single Apple product? As a Cellular Data &amp; Automation Engineer, you will be at the center of the embedded 5G/4G/multimode cellular firmware effort within a silicon design group responsible for designing and productizing state-of-the-art cellular SoCs. 
 
Description 
 
As a Data &amp; Automation Engineer, you will be responsible for developing new features to enhance test automation system for improving test efficiency and stability. Furthermore, you will be participating in developing state-of-the-art data processing pipeline and leveraging data science algorithms &amp; machine learning models to parse massive data and logs in timely manner to automatically solve the issues or provide recommendations for the next step. In addition, you will be closely partnering with FW engineering teams in integrating and deploying models and data processing pipeline as part of entire automation system to deliver analysis results to benefit FW engineers in debugging issues. You will work with amazing team, brainstorm new ideas, and develop models and algorithms to solve complicated problems that have a substantial impact.&quot;,&quot;responsibilities&quot;:&quot;Develop new features to enhance the automation system based on the business&rsquo;s needs 
 
Develop and maintain real-time data processing pipelines to ensure processing accuracy and efficiency 
 
Collaborate closely with AI/ML engineers to integrate new AI pipelines and ML models into the production system and ensure achieving expected results and efficiency 
 
Integrate various internal tools and external tools into the existing automation system and/or data processing pipelines to enable new applications 
 
Provide technical support for users and help troubleshoot issues to unblock projects 
 
Preferred Qualifications 
 
Master&rsquo;s degree in data science or computer science or machine learning is preferred. 
 
Proficient in scripting or programming languages such as Python, Java, C/C++ with 5+ years of proven programming skills. 
 
Advanced SQL skills with the ability to write complex joins and nested queries. 
 
Proficiency in data visualization tools (such as Tableau, D3) and strong understanding of data manipulation and querying using SQL and Python together. 
 
Experience with dashboards and interactive reports. Ability to work with large datasets and conduct data cleaning and transformation. 
 
Experience with automation tools and frameworks, e.g. Jenkins, Gitlab CI/CD. 
 
Ability to leverage data science algorithms and machine-learning models to solve various kinds of issues. 
 
Experience in utilizing analytics and statistical methods to transform data into useful insights and actionable results. 
 
Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processes. 
 
Strong critical thinking and communication skills with the ability and desire to learn and evaluate new technologies. 
 
Minimum Qualifications 
 
BS and a minimum of 3 years relevant industry experience. 
 
Proficient developer with 3+ years proven programming skills using Python, Pandas, Matplotlib and other key related tools. 
 
Solid knowledge and experience with relational database (e.g Postgres) and non-relational database (e.g.Mango DB). Ability to write complex queries with SQL is required. 
 
Experience with dashboards and interactive reports. Proficiency in data visualization tools (such as Tableau) and a strong understanding of data manipulation and querying using SQL and Python together. 
 
Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processes. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Cellular Data & Automation Engineer

Explore 322+ Data center engineer in San Francisco this May. Find roles across top companies and apply now to boost your career.