Embedded Firmware Validation Engineer

About Applied Intuition

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.;
San Diego;
Ft. Walton Beach, Florida;
Ann Arbor, Michigan;
London;
Stuttgart;
Munich;
Stockholm;
Bangalore;
Seoul; and Tokyo. Learn more at

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

We are looking for an Embedded Firmware Validation Engineer to design robust HIL test cases for the entire AUTOSAR Classic RTOS and AUTOSAR Adaptive POSIX stack. You will validate the software at its lowest levels — OS scheduling and memory protection, the communication stack (CAN/CAN-FD, LIN, Flex Ray, Automotive Ethernet), MCAL and complex device drivers, and diagnostics — against system and safety requirements.

You will build test benches, author automated test suites, inject faults, and drive defects to root cause with development teams. We are hiring at mid or senior level — scope and ownership will scale with your experience.

• Design and execute validation strategies for AUTOSAR Classic and Adaptive software stacks.

• Validate end-to-end automotive communication protocols including CAN/CAN-FD, LIN, Flex Ray, 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.

• Collaborate with BSW, firmware, and functional safety teams to reproduce, root-cause, and resolve issues.

• Author traceable test cases and validation documentation aligned with ASPICE and software 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, Flex Ray, 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).

• Strong experience with AUTOSAR Adaptive and POSIX-based operating systems (QNX, PikeOS, INTEGRITY, SafeRTOS).

• Experience validating functional safety (ASIL B/C/D) and familiarity with automotive cybersecurity (ISO 21434).

• Proficiency with automotive diagnostic and debugging tools such as CANoe, CANalyzer, Control Desk, TRACE
  32, and logic/protocol analyzers.

• Experience using CI/CD tools such as Jenkins, Git Hub Actions,…