Android Engineer, ChatGPT Mobile Infrastructure
About the Team
We’re building the core Kotlin-based platform-from architecture to CI-that powers ChatGPT, Sora, and other fast-evolving Android apps. Android is a key platform for ChatGPT, and our focus is helping teams iterate quickly without sacrificing performance or reliability.
About the Role
We’re hiring Staff+ engineers with backgrounds across the Android platform, including specialists in performance, build/CI, or AI developer productivity. Whether you focus on UI frameworks or automated testing, your impact will be seen in reduced friction, lower complexity, fewer regressions, and improved performance.
If you're rethinking how to scale Android development in the era of advanced AI tools, this role is for you.
We are hiring in San Francisco, New York, and Seattle, and may consider remote candidates.
In this role, you may:
Build and evolve core Kotlin frameworks used across multiple apps and platforms (e.g., caching, state management, observability, navigation, component systems).
Enhance app performance (startup, responsiveness, memory, battery life) through profiling, monitoring, regression prevention, or architectural improvements.
Increase reliability by reducing crashes, improving error handling, and driving release process improvements.
Collaborate closely with product engineering teams to identify pain points and emerging infrastructure needs.
Develop internal tooling and automation (CI, testing, guardrails, Codex agent skills, and systems) to accelerate engineering velocity.
Turn real-world constraints into simple abstractions: intuitive APIs, enforceable contracts, safe defaults.
You might thrive in this role if you:
Bring strong expertise in Android development (Kotlin, modern architecture patterns, Jetpack).
Gravitate toward platform challenges: frameworks, architecture, performance, or creating tools that empower other engineers.
Take ownership by identifying key risks/opportunities, driving projects to completion, and adapting quickly.
Care about measurement: instrument thoroughly, define metrics, run experiments, and iterate based on data.
Communicate and collaborate effectively-aligning on interfaces, navigating tradeoffs, and driving cross-team execution.
Think in systems, fight entropy, and enjoy ambiguous challenges.
About OpenAI
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