About the Team
With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks.
The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities.
Codex Cloud builds cloud-first software engineering products and the supporting platform capabilities to power agentic experiences across OpenAI. It is a cross-cutting team that works across the stack to build both delightful product experiences and fundamental platform capabilities.
About the Role
Codex Cloud owns cloud-based agentic experiences like code review and cloud tasks (with many more on the way), but also the underlying runtime/orchestration layer for cloud-based agentic tasks. That runtime is the execution and infrastructure layer that turns Codex from a code generator into a real AI software engineer operating at scale. It provides secure, sandboxed environments where Codex can run commands, read and write files, execute tests, and iteratively improve its work across real codebases — just like a human developer. More broadly, Codex Runtime is the distributed systems substrate that enables large numbers of supervised AI agents to run inside OpenAI’s and customers’ data centers, tackling increasingly complex goals over long time horizons. By giving agents a real working context and reliable execution environment, Codex Runtime makes it possible for Codex to validate its own changes, debug failures, and deliver production-ready results, defining how AI agents safely, reliably, and at scale interact with the world’s software.
In this role, you will:
- Shape the evolution of Codex itself by identifying how teams actually use (and break) AI-powered software engineering, and driving changes across product, infrastructure, and model behavior to make Codex a truly reliable teammate for organizations.
- Design customer-facing (across consumer and enterprise segments) software engineering experiences end-to-end to automate and empower engineers to safely build and deliver software to their customers.
- Build the core team and enterprise primitives that make Codex usable at scale including container orchestration, virtual machine provisioning/configuration, execution sandboxes, shared block storage, RBAC, admin and audit surfaces, usage, rate limits and pricing controls, managed configuration and constraints, and analytics that give teams and operators deep visibility into how Codex is being used.
- Design and own secure, observable, full-stack systems that power Codex across web, IDEs, CLI, and CI/CD, integrating with enterprise identity and governance systems (SSO/SAML/OIDC, SCIM, policy enforcement) and building data-access patterns that are performant, compliant, and trustworthy.
- Lead real-world deployments and launches by working directly with customers and GTM to roll Codex out across teams, using live usage and operational signals to rapidly iterate and turn messy, real-world feedback into scalable product and platform improvements.
You might thrive in this role if you:
- Have strong software engineering fundamentals and experience turning ideas into production-grade large-scale distributed systems, thinking holistically about balancing speed, performance, costs, and user experience.
- Have been using AI-powered/agentic software development tools and are familiar with their strengths/weaknesses.
- Have experience with orchestration of scaled containerization and/or virtualization systems (e.g. Kubernetes, OCI).
- Are proficient in one or more backend languages (e.g. Python, Go, Rust) and concurrency/distributed systems concepts, with a focus on reliability, observability, and security.
- Enjoy building cross-cutting platform capabilities that unlock product velocity, and you’re comfortable working across services, APIs, and end-user product surfaces.
- Have experience with team/enterprise foundations such as identity and access (SAML/OIDC), SCIM, RBAC, audit/compliance logging, policy enforcement, and data governance controls.
- Have built developer tools and workflows (CLI/IDE/SDK), automation systems (triggers/scheduling), or integration platforms that connect products to a broader ecosystem of tools.
- Like working directly with users/customers (or alongside GTM/solutions teams), and can translate messy, diverse requirements into opinionated implementations that scale across many teams.
- Enjoy 0 -> 1 environments, can navigate ambiguity, and bring crisp product thinking to technical trade-offs.
About OpenAI
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.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
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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