Description
Software Engineer, Codex for Teams
Location
San Francisco
Employment Type
Full time
Department
Applied AI
Compensation
- $230K – $325K • Offers Equity
The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
Benefits
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
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.
About the Role
As we grow, we’re focused on turning Codex from a powerful individual tool into a production-grade teammate for entire organisations. You will work across internal OpenAI teams and external customers, from fast-moving startups to large enterprises, to make it possible to deploy, operate, and trust Codex in increasingly demanding real-world environments.
Responsibilities
- Shape the evolution of Codex 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 organisations.
- Build the core team and enterprise primitives that make Codex usable at scale, including 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 the Go To Market team (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 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 and scalability.
- Have experience working with large-scale systems, including designing and implementing APIs, data pipelines, and other critical infrastructure.
- Are passionate about building and maintaining high-quality software, with a focus on testability, maintainability, and scalability.
- Have excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams, including engineering, product, and design.
- Are comfortable with ambiguity and uncertainty, with the ability to adapt to changing requirements and priorities.
- Have a strong sense of ownership and accountability, with the ability to drive results and deliver high-quality outcomes.
- Are committed to ongoing learning and professional development, with a desire to stay up-to-date with the latest technologies and trends in software engineering.