Embedded Firmware Validation Engineer

Applied Intuition
Sunnyvale, CA, United States
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$118,000.0 - $200,000.0
Working hours
Regular working hours
Job source

Tech stack

Testing (Software) JIRA Automation of Tests AUTomotive Open System Architecture (AUTOSAR) Communications Protocols Computer Engineering Continuous Integration Software Debugging Device Drivers Embedded C Embedded Software Ethernet
+25 more
Firmware FlexRay FreeRTOS Github Python (Programming Language) Linux Commands Routing Network Administration Posix Real-Time Operating Systems Regression Testing ISO/IEC 15504 Software Requirements Analysis Test Case Strategies of Testing Scripting Cloud Platform System Pikeos Pytest Gitlab-ci Information Technology Transport Protocols Trace32 Polarion Jenkins

Job description

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, FlexRay, 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.

At Applied Intuition, you will:

  • 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.
  • 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.

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).

Nice to have:

  • 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, ControlDesk, TRACE32, and logic/protocol analyzers.
  • Experience using CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Buildkite.
  • Familiarity with ASPICE and test management tools like Jira, Polarion, or similar ALM platforms.

About the company

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 applied.co.

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., Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

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