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Applied Intuition

Robot type
Autonomous Vehicle · Robot AI and Software
Location
SunnyvaleCaliforniaUSA
Job type
Hardware
Posted
Jul 30, 2026
Salary
$150,000–$200,000 a year
Full-time

UX Validation Lead

Job description

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.;

Job 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.

Job requirements

  • 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.

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