Software Engineer, Codex Enterprise
OpenAI · San Francisco
CHECKED 23H AGO
Frontier labonsite$230k–$385k
At a glance
Highlights
- Turn Codex from an individual tool into a production-grade teammate for teams.
- Build ecosystem primitives like plugins, skills, hooks and discovery surfaces.
- Own secure, observable full-stack systems end to end from architecture to production.
What they offer
- Equity
Ideal candidate
Product-minded full-stack builder who thrives in 0-to-1 ambiguity and loves turning messy enterprise needs into scalable platform capabilities. Energized by working directly with customers and owning reliable, secure systems end to end.
Requirements
- Have strong software engineering fundamentals and experience turning ideas into productionized systems, thinking holistically about speed, performance, and user experience.
- Are proficient in one or more backend languages (e.g., Python, Go, Rust) and 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, end-user product surfaces, and extensibility systems.
- Have experience with team/enterprise foundations such as identity and access (SAML/OIDC), SCIM, RBAC, audit/compliance logging, policy enforcement, and data governance controls.
- 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.
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets