Automotive HIL Verification and Validation Engineer
Location : % Onsite, Dearborn MI.
JD :
Candidate Submissions Must at a Minimum have :
- Electrical Engineering or Computer Engineering degree. NO Mechanical Engineers or other degrees.
- At least years of relevant automotive validation experience.
Responsibilities
- Develop test procedures, plans, automated scripts, and cases.
- Perform automated and manual test execution, results analysis, root cause analysis, and verifications.
- Define and bring up test benches required to support validation and verification activities. For example, identify the equipment, tools, licenses, hardware, test systems.
- Identify test dependencies such as specifications, interfaces, compliance, hardware, software components, etc...
- Determine opportunities and provide support for automation and tooling.
- Contribute to team results through ownership in agile scrum development sprints.
- Collaborate cross-functionally with technical specialists, feature owners, development teams, and other test teams in support of testing and development activities.
Preferred Qualification :
- Experiences with Vector tools, CANoe / CANalyzer / CANape.
- Ability to interpret C / C++, Python code, or logs to aid in issue resolution.
- year of ADAS or autonomous driving work experiences
- Experience working on Driver Assistance technologies using radar, cameras, ultrasonic sensors, or similar.
- Knowledge and Experience with Classic / Adaptive AUTOSAR SW development process
- Experience with low level debugging tools (Lauterbach ICE, Wireshark, Oscilloscope, etc. .)
- Experiences with Automotive Ethernet, DOIP, SOME / IP, etc.
- Experience with hardware-in-the-loop (HIL) testing.
- Experience with simulation software such as CarMaker / CarSim, etc.
- Experiences with MATLAB / Simulink or equivalent
- Experiences with CAPL programming.
- Experiences with LabVIEW, NI tool chains
- Experience with data collection and analysis, ideally in driver assist technology.
- Understanding of Feature specifications, FMEAs, robustness disciplines and Design Verification Plan
- Understanding of performance requirements and the interactions with other features and the system, and establish procedures to verify performance both quantitatively and subjectively.
- Experience with Linux development, Shell scripting, Jenkins, GitHub.
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