Software Engineer, Agent Infrastructure
OpenAI · San Francisco, CA · Scaling
About this role
OpenAI is hiring a mid-level Infrastructure Engineer in the software engineering function based in San Francisco, CA (hybrid). The posting calls out experience with FastAPI, gRPC, Kubernetes, Docker. Compensation is listed at $230,000–$385,000 per year.
- Role
- Infrastructure Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Francisco, CA
- Work mode
- Hybrid
- Department
- Scaling
- Posted
- May 30, 2025
More roles at OpenAI
Job description
from OpenAI careersAbout the Team
The Agent Infrastructure team at OpenAI is responsible for building systems that enable training and deployment of highly useful AI agents, both internally and for the world.
We work hand-in-hand with researchers to design and scale the environment in which agentic models are trained – providing a workspace for AI models to execute code, debug issues, and develop software just as human SWEs do. Our training environment for agentic models operates at an extremely high scale and has the flexibility to emulate any environment in which an agent might work.
At the same time, our team builds and maintains OpenAI’s core platform for the deployment and execution of agents in production. Our systems power products such as Codex, Operator, tool use in ChatGPT, and future agentic products.
Some of the most challenging technical problems in scaling the capabilities and utility of agents and agentic models lie in the infrastructure layer – and our team is focused on building the research and production systems that enable OpenAI to train the most capable models in the world, and maximize the utility of our agentic products for users around the world.
About the Role