ADAS Feature Verification and Validation Engineer · Ford Motor Company

Fri, 24 Apr 2026 12:25:05 GMT
Engineering

Ford Motor Company · Dearborn · This position is a range of salary grades 6-8. · hybrid

In this position, you will develop and implement feature requirements and specifications for Advanced Driver Assistance Systems (ADAS) features like adaptive cruise control, automatic emergency braking, cross traffic alert, pro trailer features, advanced lighting, and 360 camera systems at a system and sub-system level. You will collaborate with research engineers, user experience teams, designers, hardware and software developers to define, develop, and verify the customer-facing attributes and performance capabilities of ADAS features.

Your responsibilities will include defining and documenting vehicle-level acceptance criteria for ADAS features, leading/supporting the development of verification plans and verification methods, collaborating with global functional partners to meet system and vehicle level performance requirements, and cascading system-level requirements to functional partners.

You will also lead/support the development and sign-off of ADAS features on vehicle programs, support feature calibration studies to satisfy vehicle-level performance requirements, develop MATLAB and CAN tools for data collection and analysis, identify opportunities to utilize HiL and CAE methods for feature calibration and performance verification, plan and execute real-world evaluations of ADAS features via vehicle/HIL/virtual testing and identify system problems and issues, and support and coordinate root-cause analysis with internal functions and external suppliers to ensure delivered system achieves feature requirements.

You will benchmark competitors and monitor public domain requirements.

You will have a Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related technical field, and experience in developing features in the Driver Assistance domain using radars, cameras, lidars, ultrasonic sensors and other related vehicle systems (body, electrical, chassis, powertrain).

Familiarity with actuators and control systems is also required.

A Master's degree in Engineering (Electrical, Mechanical, Aerospace, Mechatronics, Software, Computer Science, AI, Systems Engineering, Product Development) or a related technical field is preferred, as well as experience applying Systems Engineering principles, experience with robotic verification and testing methods, troubleshooting experience with electromechanical systems, experience with differential GPS equipment, experience using typical automotive interfaces: CAN, CANFD, Autosar, Auto-Ethernet, etc., experience using Vector CANape, CANalyzer and dSPACE Controls Desk or similar tools, experience with Matlab/Simulink, experience in verification techniques (design verification methods, vehicle data acquisition/analysis), experience with virtual validation methods (HIL/MIL/SIL), strong leadership skills, passion for quality, passion to improve customer satisfaction, good communications and project management skills, strong oral & written skills, ability to work both independently and take initiative when necessary, and strong teamwork & interpersonal skills.