Revyl

We're looking for an engineering intern who is technically strong, learns fast, and wants to work on real problems. You'll contribute to real distributed systems, real tooling, and real products inside a small fast-moving team. This isn't a "shadow someone for 12 weeks" internship. You'll ship code that runs in production for enterprise customers, and maintain a high level of autonomy in the process. What you'd work on - Build and ship scoped product and engineering projects end to end - Improve internal tooling and developer experience across the CLI, dashboard, and backend - Work across product, infrastructure, growth, and reliability - Work with the engineering team and founders daily What we're looking for - Fast rate of learning - High agency - Comfortable with ambiguity - Excited to work hard and move fast - Curious, resourceful, low ego Strong signals - You've built side projects, internal tools, or open-source contributions - You enjoy ownership and actively seek responsibility - Comfortable reading and working across multiple languages and systems - You've done something technically impressive relative to your experience level. We care about raw ability, not polish Probably not a fit if - You want a lot of structure and clearly scoped tasks - You're uncomfortable figuring things out without detailed guidance - You want a big-company internship experience with formal mentorship programs --- Our environment Our stack spans TypeScript, Python, and Go across a large monorepo. We use LLMs heavily in the product and in how we build. We care about relevant experience and raw ability, not exact stack matching. If you've built real things and learn fast, the specific languages and frameworks are the easy part.

What you'd work on - The AI agent loop. Our agents observe device screens, ground actions to UI elements, execute steps, and reflect on whether they worked. It's a capture-ground-execute-reflect cycle and there are a lot of hard problems in making it reliable - Distributed workflow orchestration for test execution across pools of devices - Device infrastructure for Android and iOS. Emulators, real devices, streaming, automation - Our CLI that ties local dev to cloud verification. Build uploads, live device sessions, CI integration - OpenTelemetry integration, trace correlation, and the tooling we use to debug executions - Real-time execution UX. WebSocket streaming, live device views, graph-based test visualization - Building out product surface (CLI, web app, CI integrations) What we're looking for - High customer empathy. You think about the user's problem when you're designing a technical solution, not just the technical elegance - You enjoy novel problems with real technical and product ambiguity - You've built and scaled systems that run in production under real load - Practical experience with LLMs, AI infra, or agent-based systems - Track record of high ownership and autonomous execution - Strong communication Experience that would stand out - Mobile build tooling experience (Swift, Kotlin, Flutter) - Mobile testing infrastructure, device automation, or mobile platform tooling - OpenTelemetry or distributed tracing - Workflow orchestration systems - CLI or developer tooling Probably not a fit if - You want well-scoped tickets - You're uncomfortable making architectural decisions without full information - You prefer deep specialization in one layer over working across a full stack Revyl is building AI-native mobile infrastructure. We automate software reliability, starting with end-to-end testing that lets companies ship faster with confidence. You write tests in natural language, our AI agents execute them on iOS and Android devices, and you get back full execution traces. The underlying primitive is AI agents that can actually operate phones. Testing is the first application. The founding team built DragonCrawl at Uber AI and left to commercialize it. We're backed by Felicis, General Catalyst, and Y Combinator, with angels including the co-creator of OpenTelemetry and people from Meta, Nvidia, and Uber. We have early enterprise traction and are building toward being the default reliability platform. Why join? - Hard technical problems (AI agents, distributed systems, mobile device infrastructure) not CRUD apps - Shape technical and product direction from the ground floor - Flat hierarchy, high ownership, full autonomy - Small, talent-dense founding team in San Francisco - Competitive compensation and equity