Software Engineer

Summary

Build AI agent loops for mobile app testing—agents that observe screens, execute actions, and reflect on results—along with distributed workflow orchestration, device infrastructure, a CLI, and real-time streaming UX.

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

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

See also

Software Engineering jobs by country — openings, pay and top skills →

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