# Android Engineer, ChatGPT (Seattle)

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** Seattle, WA
**Role:** Android Engineering
**Salary:** $185k – $405k/yr
**Experience:** 5+ years
**Skills:** Kotlin, Jetpack Compose, Android Sdk, Android Architecture, Android Development, Mobile Performance, Android Platform, Accessibility, Reliability, Data Science
**Posted:** 2026-09-09

> Senior Android engineer building native, scalable ChatGPT Library experiences for saving, organizing, discovering, and interacting with user content. The role requires deep Kotlin, Jetpack Compose, Android SDK, and modern architecture expertise, along with strong product ownership and cross-functional collaboration.

## Job Description

## Responsibilities
- Build and ship Android experiences that help users access, organize, and build on content created with ChatGPT.
- Own features end to end, from product exploration and technical design through implementation, experimentation, launch, and iteration.
- Develop scalable, maintainable foundations for evolving Library experiences and emerging AI capabilities.
- Improve architecture, performance, reliability, responsiveness, accessibility, and visual polish across Android devices.
- Integrate Android platform capabilities to create intuitive, native mobile experiences.
- Partner with product, design, research, data science, and engineering teams to turn AI capabilities into useful products.
- Help establish technical direction and raise the quality bar for Android development.

## Requirements and Preferred Qualifications
- Strong track record building and shipping high-quality Android products at scale.
- Deep expertise in Kotlin, Jetpack Compose, the Android SDK, and modern Android architecture and development practices.
- Strong product judgment and ability to turn ambiguous ideas into intuitive user experiences.
- Experience owning complex product experiences across the full Android stack.
- Ability to design scalable, maintainable systems that help other engineers move faster.
- Effective cross-functional collaboration with engineering, product, design, research, and data science teams.
- Interest in building zero-to-one experiences and adapting as AI capabilities and user expectations evolve.

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