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Data Center Compute, OpenHouse Savannah 2026

AI Summary
OpenAI is hiring across multiple technical disciplines to design, scale, and operate the compute infrastructure supporting frontier AI models. The role may span distributed systems, GPU clusters, hardware, networking, power and cooling, facilities, manufacturing, supply chain, and data-center delivery. Contributors will identify operational and technical bottlenecks, improve reliability and efficiency, and bring substantial compute capacity online. This is a broad, high-impact infrastructure opportunity for professionals who can work effectively across software, hardware, and physical systems. The position is remote in the United States, with Seattle and San Francisco also listed as location options.
Remote from
USA
Salary
USD 125k–400k / yr
Employment
Full Time
Experience
Open level
Published
Apply before
3 Dec 2026
Listing views
18
Application actions
2
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Opportunity details

About this role.

About the Team

OpenAI’s Compute organization turns ambitious AI research into real-world capability by delivering the compute infrastructure behind our most advanced models. The team works across software, hardware, facilities, operations, and engineering disciplines to make enormous amounts of compute available, reliable, and efficient.

As the demand for frontier AI grows, so does the complexity of the systems required to support it. Scaling this infrastructure means solving problems that cut across distributed systems, ML infrastructure, GPU fleets, power, cooling, networking, manufacturing, supply chain, and data center delivery.

Our work is focused on expanding the compute foundation that enables OpenAI to train more capable models, including systems like GPT-5.6, and make frontier AI available to more people, products, and workflows. We’re looking for exceptional people across many disciplines to help build the next generation of AI infrastructure at a scale few organizations have attempted.

About the Role

We are hiring across a broad range of roles to help design, build, scale, and operate OpenAI’s compute infrastructure. Depending on your background, you may work on large-scale distributed systems, ML infrastructure, hardware systems, manufacturing, supply chain, data center development, or the physical engineering systems required to bring massive compute capacity online.

You’ll work with teams across research, engineering, hardware, operations, and infrastructure to solve high-impact problems at extraordinary scale. This may include improving system reliability, accelerating deployment timelines, increasing operational efficiency, designing new infrastructure, or helping bring new compute platforms and facilities from concept to production.

This is an opportunity to work on one of the most important infrastructure challenges in AI: building the compute foundation required to train and serve increasingly capable frontier models.

Key Responsibilities

  • Help build, scale, and operate OpenAI’s global compute infrastructure.

  • Solve complex problems across software, hardware, manufacturing supply chain, and data center systems.

  • Improve the reliability, performance, efficiency, and scalability of critical infrastructure.

  • Partner with cross-functional teams to bring new compute capacity online quickly and reliably.

  • Identify bottlenecks across technical, operational, and physical systems, and develop practical solutions.

  • Build tools, processes, systems, or infrastructure that improve execution at scale.

  • Contribute to the long-term architecture and operational maturity of OpenAI’s compute footprint.

Qualifications

  • Have experience building, scaling, or operating complex technical systems.

  • Enjoy working on ambiguous, high-impact problems where the path forward is not always defined.

  • Are comfortable collaborating across disciplines, including software, hardware, operations, and physical infrastructure.

  • Have strong technical judgment and a bias toward execution.

  • Care deeply about reliability, speed, safety, and operational excellence.

  • Are excited by the challenge of building infrastructure at unprecedented scale.

  • Want your work to directly support the development and deployment of frontier AI.

Preferred Skills

  • Have experience with AI infrastructure, high-performance computing, distributed systems, GPU clusters, or cloud-scale platforms.

  • Have worked on hardware systems, manufacturing, supply chain, data center development, or large capital infrastructure projects.

  • Have domain expertise in civil, controls, mechanical, hardware, electrical, thermal, power, networking, or facilities engineering.

  • Have helped bring new technical platforms, data centers, factories, or large-scale systems from concept to production.

  • Have experience operating in fast-moving environments where technical depth and execution speed both matter.

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, and requests can be made via this link.

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.

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe role addresses infrastructure at exceptional scale across several complex technical and operational domains. Success requires strong judgment amid ambiguity, rapid execution, and the ability to coordinate interdependent systems and stakeholders.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Highly competitive
$262,500
US market range (per year)$140k–$350k
AI insightThe employer discloses a yearly base-compensation range of $125,000–$400,000 USD, with a midpoint of $262,500. The unusually broad range is plausible because this OpenHouse posting covers multiple seniority levels and specialties across compute infrastructure. Estimated US market compensation for comparable infrastructure roles is approximately $140,000–$350,000 per year.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
Describe a complex infrastructure system you helped scale or operate. What was the primary constraint?

I would outline the system architecture, expected growth, and the specific bottleneck, such as capacity, networking, deployment automation, or operational process. I would then explain how I validated the constraint with metrics, prioritized mitigations, coordinated owners, and measured the resulting improvement in reliability or throughput.

How would you approach bringing a large new compute environment online while minimizing risk?

I would use phased delivery with clear readiness criteria for facilities, hardware, network, software, security, observability, and operations. I would establish ownership, dependencies, rollback plans, load testing, and a controlled production ramp supported by real-time monitoring and incident response procedures.

How do you make decisions when software, hardware, and facilities teams have competing priorities?

I start by making shared goals, constraints, and decision criteria explicit, including safety, reliability, cost, delivery timeline, and long-term operability. I use data to quantify tradeoffs, document the decision, assign accountable owners, and revisit assumptions as new evidence emerges.

Give an example of how you improved reliability in a critical production system.

I would describe the failure mode, its customer or operational impact, and the evidence used to identify root causes. My response would cover both immediate mitigation and durable prevention, such as redundancy, automation, improved alerting, capacity safeguards, runbooks, and post-incident follow-through.

What metrics would you use to assess the health of compute infrastructure at scale?

I would combine availability, utilization, job or workload throughput, latency, error rates, hardware failure rates, deployment lead time, capacity headroom, power efficiency, and incident recovery metrics. The exact dashboard would be tailored to the layer being managed, but it should connect technical performance to safe and reliable compute delivery.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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