Applied Intuition
Embedded Firmware Validation Engineer
$118K–$200K
Sunnyvale · On-site · Full-time · Posted Aug 14, 2026
- Experience
- 3+ years; mid or senior level, with scope and ownership scaling with experience.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
About the job
Validates embedded AUTOSAR software stacks by developing and executing automated HIL/SIL tests, investigating defects, and documenting results against system and safety requirements.
What you'll do
- Design and execute validation strategies and test cases for AUTOSAR Classic and Adaptive stacks, including communication, diagnostics, security, and functional safety.
- Build test benches and automated Python (pytest) suites; run tests on HIL benches, SIL environments, restbus simulations, and target hardware, integrating tests into CI/CD.
- Debug and root-cause software, communication, and hardware failures with development teams; maintain traceable validation documentation.
What they ask for
- 3+ years of embedded software validation, firmware test, or Software Engineer in Test experience.
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Working knowledge of AUTOSAR architecture and validation methodologies; hands-on testing of at least one automotive communication protocol.
- Working knowledge of Python or a similar scripting language, ability to read embedded C, and familiarity with HIL/SIL testing and Linux command line.
Nice to have
- Experience with AUTOSAR Adaptive and POSIX-based operating systems; functional safety validation and familiarity with ISO 21434.
- Experience with automotive diagnostic/debugging tools, CI/CD tools, ASPICE, or test management tools.
Pay
$118K – $200K (base salary)
Tools
AUTOSAR Classic, AUTOSAR Adaptive, Python (pytest), CAN/CAN-FD, LIN, FlexRay, Automotive Ethernet, Linux
AI focus
Validates software for physical AI applications in automotive systems; no AI development duties are specified.
Model-written summary · the original posting is authoritative