OpenAI
Software Engineer, Computer Use & Frontier Interfaces
About this role
Join OpenAI's Computer Use & Frontier Interfaces team to design and build novel AI-native interfaces that transform how people interact with AI systems. You'll prototype and develop next-generation interaction paradigms across ChatGPT, Codex, and future products in a fast-moving, design-driven environment.
What you'll do
- Design, prototype, and build novel AI-native interfaces and interaction models
- Develop foundational technologies and frameworks for generative UI and computer use experiences
- Collaborate with designers, product managers, and engineers to explore and validate new concepts
- Build end-to-end prototypes and production systems that influence future OpenAI products
- Establish technical direction and engineering best practices for an incubation-stage team
- Participate in iterative development with focus on user feedback and rapid experimentation
What they're looking for
- Strong software engineering fundamentals
- User-facing product development experience
- Desktop development (Apple, Windows, or equivalent platforms)
- Rapid prototyping and system design
- Product sense and UX thinking
- Cross-functional collaboration
- Comfort with ambiguity and fast-moving environments
- Experience with zero-to-one product development
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OpenAI
OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.
View all jobs at OpenAILikely interview questions
- Tell us about a time you built a user-facing product from zero to one. How did you navigate ambiguity, and what was your process for validating whether you were solving the right problem?
- Describe your experience with desktop or mobile platform development (Apple, Windows, etc.). What technical challenges did you face, and how did you approach building intuitive interfaces for those platforms?