UX Validation Lead
Applied Intuition· Vehicle OS
Sunnyvale$150k - $200kFull-timePosted 2mo ago
About the role
Founding UX Validation Lead to build and lead the UX/HMI validation practice from the ground up, defining the bridge between early-stage HMI concepts and production-grade software quality. Hands-on role setting test approach, building automation infrastructure, and growing a team of test engineers into domain test specialists.
Responsibilities
- Define and drive the end-to-end HMI/UX validation strategy, establishing quality standards for display logic, control flows, and user experience across the platform.
- Build and scale automated UI testing infrastructure, including test harnesses, simulators, visual regression frameworks, and CI/CD integration to enable efficient validation from HIL to full-vehicle testing.
- Lead cross-functional efforts to debug complex UI and system issues, partner with TPM and validation teams on feature test plans, and mentor a high-performing test engineering team.
Qualifications
- 7+ years of software validation experience, with significant depth in UI/UX, display, or HMI testing.
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
- Proven experience owning a validation domain, defining test strategy, methodology, and automation infrastructure from the ground up.
- Strong background in automated UI testing and validation, including frameworks such as Appium and end-to-end test planning from requirements through release sign-off.
- Experience with Linux, QNX, or Android Automotive (AAOS), with an understanding of automotive networking (CAN, Ethernet) and its interaction with HMI systems.
Skills
Required:UI/UX validationAutomation infrastructureAutomated UI testingHMI/Display systems
Nice to have:Automotive networking
Last updated Oct 11, 2026. Interested? Apply on the company site.
About Applied Intuition
Building vehicle intelligence | Applied Intuition
Applied Intuition is the vehicle intelligence company with the tools, Vehicle OS, and autonomy stacks for creating safe, AI-powered vehicle experiences.
AIAutonomy stacksSelf-Driving SystemSimulationTesting & ValidationVehicle IntelligenceVehicle OSai-infrastructure-and-development
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