# Data Center Compute

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $125k – $400k/yr
**Experience:** 5+ years
**Skills:** Distributed Systems, gpu clusters, high-performance computing, AI Infrastructure, data center development, manufacturing, supply chain, mechanical engineering, electrical engineering, power systems, Networking, facilities engineering, cloud platforms
**Posted:** 2026-07-22

> OpenAI is hiring across multiple disciplines to design, build, scale, and operate its global compute infrastructure powering frontier AI models like GPT-5.6. Roles span distributed systems, ML infrastructure, hardware, manufacturing, supply chain, data center development, and physical engineering systems.

## Job Description

## 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
- Experience building, scaling, or operating complex technical systems.
- Enjoy working on ambiguous, high-impact problems where the path forward is not always defined.
- Comfortable collaborating across disciplines, including software, hardware, operations, and physical infrastructure.
- Strong technical judgment and a bias toward execution.
- Care deeply about reliability, speed, safety, and operational excellence.
- Excited by the challenge of building infrastructure at unprecedented scale.
- Work directly supports the development and deployment of frontier AI.

## Preferred Skills
- Experience with AI infrastructure, high-performance computing, distributed systems, GPU clusters, or cloud-scale platforms.
- Worked on hardware systems, manufacturing, supply chain, data center development, or large capital infrastructure projects.
- Domain expertise in civil, controls, mechanical, hardware, electrical, thermal, power, networking, or facilities engineering.
- Helped bring new technical platforms, data centers, factories, or large-scale systems from concept to production.
- Experience operating in fast-moving environments where technical depth and execution speed both matter.

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