OpenAIでは、大規模GPUクラスター向けのLinuxホストソフトウェアスタックを構築・運用するエンジニアを募集しています。カーネル、ドライバー、OSイメージエンジニアリングにおける深い経験が必須です。ハードウェアおよびインフラチームと協力し、システムの信頼性確保と自動化を実現します。システムソフトウェア開発のスキルをお持ちの方を歓迎します。
Frontier Systems Foundations, part of Compute Foundations at OpenAI, builds the systems software foundation that turns new compute infrastructure into reliable, usable capacity for frontier model training.
Our mission is to make some of the world's largest GPU clusters work reliably for frontier training. We bring new platforms and clusters online, safely maintain installed fleets, and partner with hardware, infrastructure, and research teams to resolve the system-level issues that keep jobs from running.
That means building and maintaining the software closest to the machine: Linux and Ubuntu operating-system images, kernels and modules, drivers, packages and repositories, disks and boot configuration, firmware integration, provisioning, and system-level validation. We make these components reproducible, compatible, and safe to operate across heterogeneous fleets.
We are looking for systems software engineers with deep Linux and host-systems experience to build, qualify, and maintain the operating-system foundation for OpenAI's frontier compute fleet. Relevant backgrounds include kernel and module development, Linux distribution or image engineering, package management, firmware and driver integration, disks and boot, and bare-metal provisioning.
You'll work closely with hardware engineers, vendors, and infrastructure teams to bring up new platforms, integrate system components, and debug failures across firmware, disks, boot, operating systems, kernels, drivers, and workload interactions. Your work will directly influence how quickly new capacity becomes usable and how reliably large GPU fleets operate.
You should be comfortable writing and maintaining production-quality systems software and automation, but we do not expect expertise across every layer. This is an opportunity to go deep on challenging systems problems while building the image, package, qualification, and recovery paths that power the next generation of frontier models.
Build and maintain the Linux host software stack for large GPU clusters, including Ubuntu and OS images, kernel configuration and modules, drivers, packages, disks and storage configuration, and machine configuration.
Design reproducible OS-image builds, package and repository workflows, and system configuration for heterogeneous bare-metal and cloud compute fleets.
Integrate, test, and qualify kernels, modules, drivers, packages, and firmware across new and existing hardware platforms; build safe canary, rollback, and recovery paths for system changes.
Bring up new hardware platforms and compute SKUs, working with hardware engineers and vendors to resolve firmware, driver, operating-system, and compatibility issues.
Debug complex system failures across boot and provisioning, firmware, disks, kernels and drivers, and workload interactions; turn recurring failure modes into durable fixes, tests, and automation.
Improve provisioning, repave, maintenance, and recovery correctness by eliminating manual host-by-host intervention and making system behavior predictable at fleet scale.
Build focused systems tooling and diagnostics that make the host software stack easier to validate, troubleshoot, and operate across the installed fleet.
Have significant experience building, integrating, or operating production Linux systems, particularly Ubuntu, Debian, or another major Linux distribution.
Have deep experience in one or more of: Linux kernels, modules, or device drivers; Linux distribution, package, repository, or OS-image engineering; boot, provisioning, disks, or machine configuration; firmware and driver integration, qualification, or rollout.
Can write, debug, and maintain production-quality systems software and automation using appropriate systems languages, scripting, and Linux tooling.
Understand how to build, test, package, qualify, and safely deliver system-level changes, including compatibility testing, staged rollout, rollback, and recovery.
Can systematically debug failures that cross hardware, firmware, boot, operating-system, kernel, and driver boundaries, and collaborate effectively with hardware and software partners.
Enjoy investigating difficult system behavior, identifying underlying failure modes, and building pragmatic fixes that make production systems more reliable.
Have built bare-metal provisioning, machine-bootstrap, OS-reprovisioning, or system-lifecycle tooling.
Have worked with GPU systems, AI infrastructure, HPC clusters, accelerators, or other heterogeneous and performance-sensitive compute environments.
Have experience bringing up new server platforms or working directly with hardware and software vendors on firmware, driver, or operating-system compatibility issues.
Have contributed to Linux, kernel subsystems or modules, distributions, package ecosystems, drivers, firmware tooling, or other open-source systems software.
Have delivered or supported system-software changes across large production compute fleets.
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.
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Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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