OpenAI
AI & Machine LearningDirect Ashby career site

Industrial Compute

Location
Remote (US)
Job type
Full-time
Level
Executive
Listed
30 days ago

Skills & highlights for this role

  • distributed systems
  • GPU clusters
  • ML infrastructure

Also useful

  • high-performance computing
  • cloud-scale platforms

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 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 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.

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.

Read the original posting

From OpenAI's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

Where is the Industrial Compute job at OpenAI located?

Yes, this Industrial Compute opening at OpenAI is listed as Remote (US). Always check OpenAI's application page for specific state eligibility or relocation policies.

What qualifications are required for Industrial Compute at OpenAI?

For the Industrial Compute role, OpenAI highlights experience with distributed systems, GPU clusters, ML infrastructure. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Industrial Compute position at OpenAI?

This listing links directly to OpenAI's Ashby application page. You can apply directly on OpenAI's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.