4 months ago
Base Salary
$293k - $385k/yr
Responsibilities
- Build backend and infrastructure systems that extend OpenAI’s API platform into cloud-native environments such as AWS.
- Design and ship cloud-contained products that let customers use OpenAI capabilities while keeping workloads and data within cloud environments.
- Help launch cloud-hosted Codex experiences powered by the OpenAI Responses API.
- Build infrastructure and runtime abstractions for a stateful, cloud-optimized agentic platform.
- Partner with external cloud providers and internal Codex, Research, and Safety Systems teams to deliver production-ready systems.
- Improve the reliability, scalability, observability, and operational maturity of supporting services.
- Help shape the technical direction of a growing engineering organization.
Requirements
- At least 7 years of professional engineering experience in relevant roles, excluding internships.
- Proficiency in one or more backend languages such as Python, Go, Rust, or TypeScript, along with distributed systems concepts.
- Experience building developer tools, especially AI-powered tools, and shaping architectures for different deployment models.
- Experience turning ambiguous, fast-moving technical problems into pragmatic and durable systems.
- Experience with cloud infrastructure primitives and production service ownership.
- Strong technical communication and cross-functional collaboration skills.
- Experience collaborating with platform, research, safety, or external partner teams is a plus.
- Interest in AI infrastructure, agentic systems, and developer platforms.
- Interest in AI/ML is welcome but direct experience is not required.
- Ability to navigate loosely defined tasks and manage competing priorities in fast-growing, product-driven companies.
Tech Stack
Categories
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.