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.
125k – 400k/yr
Remote5+ YOEData Engineering
About the role
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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