Sr Technical Ux Designer Ii, Xr

Axon Axon · Enterprise · Office, WA · 2018 R&D - Virtual Reality

This role is for a Sr. Technical UX Designer II, XR who will design and build XR experiences in Unity. The role involves system-level design, creating high-fidelity Unity prototypes, and leveraging AI-assisted coding tools to accelerate development. The designer will also contribute to the design system and collaborate closely with engineering to ensure learnings are carried into shipped experiences. The focus is on creating reusable components and ensuring consistency and scalability across XR products.

What you'd actually do

  1. Design at a systems level: Lead experience architecture and CX systems design — map end-to-end journeys, define interaction models and service flows, and design reliable failure and recovery paths that make complex XR experiences coherent and learnable.
  2. Build Unity experiences that are more than demos: Create high-fidelity Unity experiences (prototype-plus) with enough structure and fidelity to inform implementation and sometimes accelerate production.
  3. Leverage AI as a force multiplier: Use AI-assisted coding tools (Cursor or similar) to move faster in Unity, while maintaining code quality, clarity, and maintainability. You can evaluate, debug, and refactor the output.
  4. Build on our design system in Unity: Build on our existing design system by extending semantic tokens and component contracts into Unity, using AI-assisted workflows to keep runtime UI consistent and scalable.
  5. Create reusable foundations, not one-off fixes: Develop reusable components/prefabs, interaction design, interaction templates, and reference implementations that reduce rework and increase consistency across teams and initiatives.

Skills

Required

  • 8+ years in product/UX design
  • XR interaction design
  • Unity and C# expertise
  • AI-assisted coding fluency
  • Systems-level experience design
  • Design system fluency
  • Cross-functional leadership
  • Communication excellence

What the JD emphasized

  • AI-assisted coding tools
  • evaluate, debug, and refactor the output
  • AI-assisted workflows