Site Reliability Engineer, Frontier Systems Infrastructure
About the Team The Frontier Systems team at OpenAI builds, launches, and supports the largest supercomputers in the world that OpenAI uses for its most cutting edge model training. We take data center designs, turn them into real, working systems and build any software needed for running large-scale frontier model trai
What this role actually needs.
About the Team The Frontier Systems team at OpenAI builds, launches, and supports the largest supercomputers in the world that OpenAI uses for its most cutting edge model training. We take data center designs, turn them into real, working systems and build any software needed for running large-scale frontier model trai Responsibilities: - Spin up and scale large Kubernetes clusters, including automation for provisioning, bootstrapping, and cluster lifecycle management - Build software abstractions that unify multiple clusters and present a seamless interface to training workloads - Own node bring-up from bare metal through firmware upgrades, ensuring fast, repeatable deployment at massive scale - Improve operational metrics such as reducing cluster restart times (e.g., from hours to minutes) and accelerating firmware or OS upgrade cycles - Integrate networking and hardware health systems to deliver end-to-end reliability across servers, switches, and data center infrastructure - Develop monitoring and observability systems to detect issues early and keep clusters stable under extreme load Requirements: - Experience as an infrastructure, systems, or distributed systems engineer in large-scale or high-availability environments - Strong knowledge of Kubernetes internals, cluster scaling patterns, and containerized workloads - Proficiency in cloud infrastructure concepts (compute, networking, storage, security) and in automating cluster or data center operations Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Site Reliability Engineer, Frontier Systems Infrastructure role.
- Spin up and scale large Kubernetes clusters, including automation for provisioning, bootstrapping, and cluster lifecycle management
- Build software abstractions that unify multiple clusters and present a seamless interface to training workloads
- Own node bring-up from bare metal through firmware upgrades, ensuring fast, repeatable deployment at massive scale
- Improve operational metrics such as reducing cluster restart times (e.g., from hours to minutes) and accelerating firmware or OS upgrade cycles
- Integrate networking and hardware health systems to deliver end-to-end reliability across servers, switches, and data center infrastructure
- Develop monitoring and observability systems to detect issues early and keep clusters stable under extreme load
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Experience as an infrastructure, systems, or distributed systems engineer in large-scale or high-availability environments
- Strong knowledge of Kubernetes internals, cluster scaling patterns, and containerized workloads
- Proficiency in cloud infrastructure concepts (compute, networking, storage, security) and in automating cluster or data center operations
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Source: jobs.ashbyhq.com · Source ID: ad2cf782-15a4-48c7-9133-1788e3f33bbb · Confidence: 97/100 · Last checked: May 7, 2026
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