Automotive HIL Verification and Validation Engineer

TechDigital Group; Dearborn (MI); On-site; USD 80,000 - 110,000; Full time

Job summary

An established industry player is seeking an Automotive HIL Verification and Validation Engineer with a strong background in electrical or computer engineering. This role involves developing test procedures, executing tests, and collaborating with cross-functional teams to ensure the highest quality in automotive technologies. The ideal candidate will possess extensive experience in automotive validation, familiarity with various debugging tools, and a passion for advancing driver assistance technologies. Join this innovative firm and contribute to cutting-edge projects that are shaping the future of automotive safety and performance.

Qualifications

• 5+ years of automotive validation experience required.
• Degree in Electrical or Computer Engineering is essential.

Responsibilities

• Develop test procedures and perform automated test execution.
• Collaborate with teams to support testing and development activities.

Skills

Automotive Validation

C/C++

Python

ADAS

Driver Assistance Technologies

Debugging Tools

Data Collection and Analysis

Linux Development

Education

Bachelor's in Electrical Engineering

Master's in Computer Engineering

Tools

Vector Tools

CANoe

Wireshark

Oscilloscope

CarMaker

MATLAB

LabVIEW

Jenkins

GitHub

Job description

Automotive HIL Verification and Validation Engineer

JD:
Required Experience - 5+ Yrs. of Experience
Required Degree: BS or MS Electrical Engineering or Computer Engineering

1. Electrical Engineering or Computer Engineering degree. NO Mechanical Engineers or other degrees.
2. At least 5 years of relevant automotive validation experience.

Responsibilities

1. Develop test procedures, plans, automated scripts, and cases.
2. Perform automated and manual test execution, results analysis, root cause analysis, and verifications.
3. Define and bring up test benches required to support validation and verification activities. For example, identify the equipment, tools, licenses, hardware, test systems.
4. Identify test dependencies such as specifications, interfaces, compliance, hardware, software components, etc.
5. Determine opportunities and provide support for automation and tooling.
6. Contribute to team results through ownership in agile scrum development sprints.
7. Collaborate cross-functionally with technical specialists, feature owners, development teams, and other test teams in support of testing and development activities.

Preferred Qualification:

1. Experiences with Vector tools, CANoe/CANalyzer/CANape.
2. Ability to interpret C/C++, Python code, or logs to aid in issue resolution.
3. 2+ year of ADAS or autonomous driving work experiences.
4. Experience working on Driver Assistance technologies using radar, cameras, ultrasonic sensors, or similar.
5. Knowledge and Experience with Classic/Adaptive AUTOSAR SW development process.
6. Experience with low level debugging tools (Lauterbach ICE, Wireshark, Oscilloscope, etc.).
7. Experiences with Automotive Ethernet, DOIP, SOME/IP, etc.
8. Experience with hardware-in-the-loop (HIL) testing.
9. Experience with simulation software such as CarMaker/CarSim, etc.
10. Experiences with MATLAB/Simulink or equivalent.
11. Experiences with CAPL programming.
12. Experiences with LabVIEW, NI tool chains.
13. Experience with data collection and analysis, ideally in driver assist technology.
14. Understanding of Feature specifications, FMEAs, robustness disciplines and Design Verification Plan.
15. Understanding of performance requirements and the interactions with other features and the system, and establish procedures to verify performance both quantitatively and subjectively.
16. Experience with Linux development, Shell scripting, Jenkins, GitHub.