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Build backend services, APIs, and cloud infrastructure to extend OpenAI's API into cloud-native environments (starting with AWS). Develop cloud-contained products, cloud-hosted Codex experiences, stateful agentic runtime abstractions, and SDK/auth integrations. Partner with internal teams and external cloud partners to deliver reliable, scalable, and observable production systems while shaping the technical direction of a growing team.

Design and implement firmware and drivers for AI hardware components, develop functional models, and debug issues in embedded systems.

The Performance Modeling Engineer will develop modeling tools to analyze AI system performance, collaborating on architectural tradeoffs and validating models against real data.

Monitor and forecast emerging AI misuse and strategic threats via mixed qualitative and quantitative methods. Build and maintain harm taxonomies, risk registers, and early-warning metrics. Translate findings into prioritized mitigation proposals, dashboards, and executive briefings. Run scenario analyses, tabletop exercises, and benchmark risk posture to inform product and safety decisions.

The Solutions Engineer ensures Digital Native customers gain business value from OpenAI products by providing technical support, creating demos, guiding architecture decisions, and fostering long-term relationships while addressing customer security and compliance inquiries.