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Ford Motor Company · 17 hours ago

ADAS Feature Verification and Validation Engineer

Dearborn, MI

Full-time

Onsite

Mid Level

Ford Motor Company is seeking an ADAS Feature Verification and Validation Engineer to ensure that advanced driver assistance systems meet customer expectations. The role involves developing feature requirements, collaborating with various teams, and validating features through advanced testing methodologies.

AutomotiveAutonomous VehiclesManufacturingTransportation

No H1B

Responsibilities

Define and document the vehicle-level acceptance criteria for ADAS features

Lead / support the development of verification plans and verification methods

Collaborate with global functional partners to meet system and vehicle level performance requirements

Cascade system-level requirements to functional partners

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

Support and coordinate root-cause analysis with internal functions and external suppliers to ensure delivered system achieves feature requirements

Benchmark competitors and monitor public domain requirements

Qualification

ADAS feature developmentSystems Engineering principlesMatlab/SimulinkCAN interfacesRobotic verification methodsElectromechanical troubleshootingLeadership skillsProject management skillsTeamwork skillsCommunication skills

Required

B.S. in Electrical Engineering, Mechanical Engineering, or related technical field

Experience preferably 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

Preferred

Masters in Engineering (Electrical, Mechanical, Aerospace, Mechatronics, Software, Computer Science, AI, Systems Engineering, Product Development) or related technical field

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