Labview Test Engineer - TestStand

Global Connect Technologies; Dearborn (MI); On-site; USD 90,000 - 120,000; Full time

Job summary

Global Connect Technologies is seeking an experienced LabVIEW Test Engineer with automotive testing experience to design and implement automated test frameworks for ECUs, particularly BCM components, using NI VeriStand, NI PXI, and Python.

You will develop and execute SIL/HIL/MIL tests, create CAPL-based automation, analyze logs, and report defects while improving test coverage and automation efficiency in collaboration with the development and system teams.

Qualifications

• 3–8 years of automotive testing experience.
• Hands-on experience with NI VeriStand, NI PXI.
• Proficient in Python and CAPL scripting.
• Experience with CANoe and CANalyzer.
• Knowledge of SIL/HIL/MIL testing.
• Understanding ECU testing and automotive architectures.
• Familiarity with CAN, LIN, UDS protocols.
• Experience with PyTest or Robot Framework.
• Experience with test management and defect tracking tools.
• Strong debugging and problem‑solving skills.

Responsibilities

• Develop and maintain automated test scripts and frameworks for automotive ECUs.
• Perform SIL, HIL, and MIL testing, including regression testing.
• Develop Python/CAPL-based automation for automotive test environments.
• Work with NI VeriStand and NI PXI HIL systems and troubleshoot test bench issues.
• Develop automation-ready test cases from system and software requirements.
• Perform software integration testing for BCM/ECU components.
• Use CANoe/CANalyzer for communication analysis and testing.
• Execute test cases, analyze logs, identify issues, and report defects.
• Improve test coverage and automation efficiency in collaboration with development and system teams.
• Support development and maintenance of automated test frameworks using PyTest, Robot Framework, or similar tools.

Skills

Automotive testing

NI VeriStand

Python

CAPL

CANoe

CANalyzer

SIL/HIL/MIL testing

ECU testing

CAN/LIN/UDS protocols

Test automation frameworks

Education

B.E./B.Tech, M.E./M.Tech, or M.S. in Electrical, Electronics, Computer, Automotive, or related engineering field

Tools

NI VeriStand

NI PXI

CANoe

CANalyzer

Python

CAPL

PyTest

Robot Framework

Job description

We are seeking an experienced Labview Test Engineer with automotive testing experience. The ideal candidate will have strong hands-on experience with NI VeriStand, Python-based test automation, NI PXI, Vector CANoe/CANalyzer, and ECU testing. The role will focus on developing automated test frameworks and executing SIL/HIL regression testing for automotive ECUs, particularly BCM components.

Key Responsibilities

• Develop and maintain automated test scripts and frameworks for automotive ECUs.
• Perform SIL, HIL, and MIL testing, including regression testing.
• Develop Python/CAPL-based automation for automotive test environments.
• Work with NI VeriStand and NI PXI HIL systems and troubleshoot test bench issues.
• Develop automation-ready test cases from system and software requirements.
• Perform software integration testing for BCM/ECU components.
• Use CANoe/CANalyzer for communication analysis and testing.
• Execute test cases, analyze logs, identify issues, and report defects.
• Improve test coverage and automation efficiency in collaboration with development and system teams.
• Support development and maintenance of automated test frameworks using PyTest, Robot Framework, or similar tools.

Required Skills

• 3–8 years of automotive testing experience.
• Strong experience with NI VeriStand and NI PXI.
• Strong programming/scripting skills in Python and CAPL.
• Hands‑on experience with CANoe and CANalyzer.
• Experience with SIL/HIL/MIL testing.
• Strong understanding of ECU testing and automotive architectures.
• Knowledge of CAN, LIN, and UDS protocols.
• Experience with PyTest, Robot Framework, or similar automation frameworks.
• Experience with test management and defect tracking tools.
• Strong debugging and problem‑solving skills.

Education

• B.E./B.Tech, M.E./M.Tech, or M.S. in Electrical, Electronics, Computer, Automotive, or related engineering field.