About this role
As a Validation Test Developer , you will contribute to Ford’s internal Design Validation (DV) test systems for next-generation vehicle components. You’ll work with test engineers and cross-functional teams to develop and maintain automated test scripts, integrate test bench hardware, perform electrical measurements, and investigate test issues.
This role is suited to an early-career engineer with practical experience in electrical systems, measurement techniques, or test development who is ready to take ownership of defined test activities while continuing to build expertise in automotive validation. You’ll gain hands-on experience with tools such as Python, LabVIEW, NI TestStand, and NI VeriStand, along with laboratory instrumentation and vehicle communication protocols.
Basic Qualifications
- Bachelor’s degree in Electrical Engineering, Electronics and Instrumentation Engineering, Software Engineering, or a related technical discipline.
- 1–2 years of relevant experience in electrical systems, measurement, test development, or automation, including applicable internship or co-op experience.
- Foundational understanding of electrical engineering principles, circuit theory, signal conditioning, and data acquisition (DAQ).
- Practical familiarity with Python or LabVIEW for scripting, test execution, or automation.
- Hands-on experience using common laboratory equipment, such as digital multimeters, oscilloscopes, and DC power supplies.
- Strong analytical and troubleshooting skills, attention to detail, and clear written and verbal communication.
Preferred Qualifications
- Exposure to National Instruments hardware platforms such as PXI, cRIO, or cDAQ and software such as LabVIEW, TestStand, or VeriStand.
- Basic understanding or practical exposure to automotive communication protocols, including CAN, LIN, or Automotive Ethernet.
- Experience using Git or similar version control tools.
- Ability to work collaboratively across engineering teams and manage assigned tasks with appropriate guidance.
- Interest in automotive validation, test automation, and continuous learning.