OpenAI의 Frontier Systems 팀에서 세계 최대 규모의 슈퍼컴퓨터를 운영하고 최적화할 엔지니어를 찾습니다. Kubernetes 클러스터 확장 및 자동화 경험이 필수이며, 베어메탈 환경에서의 인프라 구축과 대규모 분산 시스템 운영에 능숙해야 합니다. 하드웨어와 소프트웨어의 접점에서 고성능 컴퓨팅 환경의 안정성을 책임질 분을 모십니다.
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 trainings.
Our mission is to bring up, stabilize and keep these hyperscale supercomputers reliable and efficient during the training of the frontier models.
We are looking for engineers to operate the next generation of compute clusters that power OpenAI’s frontier research.
This role blends distributed systems engineering with hands-on infrastructure work on our largest datacenters. You will scale Kubernetes clusters to massive scale, automate bare-metal bring-up, and build the software layer that hides the complexity of a magnitude of nodes across multiple data centers.
You will work at the intersection of hardware and software, where speed and reliability are critical. Expect to manage fast-moving operations, quickly diagnose and fix issues when things are on fire, and continuously raise the bar for automation and uptime.
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
Have deep experience operating or scaling Kubernetes clusters or similar container orchestration systems in high-growth or hyperscale environments
Bring strong programming or scripting skills (Python, Go, or similar) and familiarity with Infrastructure-as-Code tools such as Terraform or CloudFormation
Are comfortable with bare-metal Linux environments, GPU hardware, and large-scale networking
Enjoy solving fast-moving, high-impact operational problems and building automation to eliminate manual work
Can balance careful engineering with the urgency of keeping mission-critical systems running
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
Bonus: background with GPU workloads, firmware management, or high-performance computing
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