Jobs at OpenAI

The Forward Deployed Software Engineer will design custom software solutions using OpenAI's APIs, work closely with customers, and provide technical expertise to solve complex problems while collaborating with various teams.

The Forward Deployed Engineer leads customer-facing deployments of AI models, building full-stack systems, scoping work, and delivering value under ambiguity. They ensure quality delivery and share feedback to influence product improvements.

The Solutions Engineer will engage with Large Enterprise clients, providing pre-sales technical support, guiding AI strategies, and ensuring effective implementation of solutions using OpenAI products.

The role involves serving as a design verification expert, guiding teams on verification workflows, shaping AI-assisted methods, and mentoring staff while progressively taking on broader responsibilities in deployment and solution architecture.

Design and build systems for detecting and responding to harm on OpenAI's platforms, collaborating with various teams to enhance safety and integrity.

As an AI Deployment Engineer, you will work with startups to optimize AI systems, prototype solutions, and improve model behavior while collaborating closely with product and research teams.

Build and ship polished, high-performance UI for the Codex desktop app and IDE extension. Partner with design to prototype and productionize interfaces for human↔agent workflows, own frontend architecture, improve reliability via testing and instrumentation, and integrate platform/model/backend capabilities.

Build end-to-end features for a TypeScript/Node/Electron desktop app and IDE extension. Design integrations with Rust services and the Codex CLI, own IPC architecture, implement orchestration for long-running tasks, and improve observability, reliability, and performance while partnering with product and design.

Design and build distributed systems for large-scale AI training, focusing on performance, stability, monitoring, and debugging of infrastructure.

The Research Scientist will evaluate AI's impact on learning and cognition, designing studies, managing evaluations, and translating findings into actionable insights.

Design infrastructure for AI-native learning experiences, develop adaptive learning capabilities, and create analytics systems to empower educators and track learner progress.

Develop and optimize large-scale compute systems for AI workloads, improving infrastructure reliability and performance across various layers of the stack.

Develop software for Codex focusing on enterprise solutions, building APIs, integrating with identity systems, and collaborating with teams to ensure quality.

Design and maintain scalable systems, collaborate with cross-functional teams, and enhance internal tooling while focusing on reliability and performance in infrastructure.

Own measurement and quantitative analysis for severe actor- and network-level harms. Develop AI-first prevalence measurement methods, build production safety metrics and dashboards, optimize LLM prompts for measurement, run analyses to inform detection/enforcement, support cross-team policy and reporting, and develop automation to scale measurement.

Lead the ChatGPT Infra team, managing engineers focused on infrastructure availability, scalability, and performance, while fostering a strong culture and collaborating globally.

The role involves leading and growing a team focused on delivering production systems, influencing deployments, and enhancing team performance under pressure, while collaborating across Product, Research, and Sales.

The role involves developing distributed systems software in Rust and Python, optimizing performance, reliability, and overseeing large-scale machine learning workloads.

The AI Deployment Engineer partners with customers to integrate OpenAI's coding tools into their development workflows, focusing on prototyping and scalable solutions while providing technical guidance and training.

The role focuses on driving advertising revenue by managing the full sales cycle, developing commercial partnerships, and collaborating across teams to ensure advertiser success.