ADAS Feature Verification and Validation Engineer at Ford Global Career Site

Dearborn, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Mar, 26

Salary

0.0

Posted On

25 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

ADAS Features, Verification Plans, Verification Methods, MATLAB, CAN Tools, Feature Calibration, Systems Engineering, Robotic Verification, Troubleshooting, Automotive Interfaces, Vector CANape, CANalyzer, dSPACE Controls Desk, Matlab/Simulink, Virtual Validation, Leadership Skills

Industry

Motor Vehicle Manufacturing

Description

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 Established and active employee resource groups 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 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 Ability to work both independently and take initiative when necessary Strong teamwork & interpersonal skills

Responsibilities

Define and document vehicle-level acceptance criteria for ADAS features and lead the development of verification plans. Collaborate with global partners to ensure system and vehicle-level performance requirements are met.