Automotive HIL Verification and Validation Engineer
Intone Networks Dearborn
Job Title: Automotive HIL Verification and Validation Engineer Location: 100% Onsite, Dearborn MI. Duration:12/27/2024-6/30/2025 Years of Experience:9.00 Years of Experience JD: Candidate Submissions Must at a Minimum have: 1. Electrical Engineering or Computer Engineering degree.
NO Mechanical Engineers or other degrees. 2. At least 5 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. 2+ 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. (link removed)) 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.
NO Mechanical Engineers or other degrees. 2. At least 5 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. 2+ 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. (link removed)) 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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