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Applied Intuition

Robot type
Autonomous Vehicle · Robot AI and Software
Location
SunnyvaleCaliforniaUSA
Job type
Software
Posted
Aug 13, 2026
Salary
$118,000–$200,000 a year
Full-time

Embedded Firmware Validation Engineer

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

  • Design and execute validation strategies for AUTOSAR Classic and Adaptive software stacks.
  • Validate end-to-end automotive communication protocols including CAN/CAN-FD, LIN, FlexRay, Ethernet, SOME/IP, DoIP, PDU Routing, Network Management, and Transport Protocols.
  • Verify Safe OS, diagnostics, platform security, and functional safety features.
  • Perform functional, robustness, boundary, timing, negative, and fault-injection testing.
  • Execute testing on HIL benches, SIL environments, restbus simulations, and target hardware.
  • Develop and maintain automated Python (pytest) test frameworks for regression and nightly validation.
  • Integrate automated tests into CI/CD pipelines to improve coverage and release quality.
  • Investigate and debug software, communication stack, and hardware failures using trace tools, debuggers, and bus analyzers.

Job requirements

  • 3+ years of embedded software validation, firmware test, or Software Engineer in Test experience, ideally in automotive.
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
  • Working knowledge of AUTOSAR (Classic and/or Adaptive) architecture and test methodologies involved in validation.
  • Hands-on experience testing at least one automotive communication protocol (CAN/CAN-FD, LIN, FlexRay, or Automotive Ethernet).
  • Working knowledge of Python or a similar scripting language; comfortable reading embedded C.
  • Familiarity with HIL/SIL testing and the Linux command line.
  • Understanding of software testing fundamentals (test case design, defect lifecycle, regression testing).
Apply on Applied Intuition websiteSave

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