ADAS Help me Drive Verification & Validation Engineer

Ford•Dearborn, MI

About The Position

Develop, refine, and execute design validation methods to ensure proper ADAS HMD feature performance at the component, system, and vehicle level across a variety of environmental and cross-carline noise factors. Complete sign off of feature performance for ADAS HMD features Lead / support the development of verification plans and verification methods Support upgrades and enhancements to ADAS HMD features, by working closely with feature owners to design/execute model changes, regression testing, and test vectors, review data, identify issues, and interact with suppliers. Support the development of data analysis techniques and methods from feature performance data generated by both track and real-world validation methods. Closely coordinate with feature development engineers to support execution of design verification plans to ensure proper feature-level performance. Collaborate with global functional partners to meet system and vehicle level performance requirements Established and active employee resource groups 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 Bachelor's Degree in Electrical Engineering, Mechanical Engineering, Robotics, Controls, Aerospace Engineering, Computer Science, or related field Experience developing/testing features in using radars, cameras, lidars, ultrasonic sensors, or other related vehicle systems (body, electrical, chassis, powertrain) Familiarity with actuators and control systems Master's degree in Electrical Engineering, Mechanical Engineering, Robotics, Controls, Aerospace Engineering, Mechatronics, Software, Computer Science, AI, Systems Engineering, Product Development or a related 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 Analytical and creative problem-solving skills Exposure to vehicle attributes development (e.g. vehicle dynamics, steering/chassis systems, etc.) Experience in project management and/or an integration role Experience with failure mode analysis techniques Experience leading the validation and verification of ADAS sensing systems Experience with computer vision & radar tracking of humans, vehicles, static roadway obstacles or other typical road objects. Experience with computer vision detection & tracking of signs, lights, lanes and other key artifacts. Experience reviewing, categorizing, and analyzing field data to determine error states / failure modes. Experience with Matlab/Simulink Experience with model-based design methods in Simulink for creation/development and enhancement of current/new features. 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

Requirements

Bachelor's Degree in Electrical Engineering, Mechanical Engineering, Robotics, Controls, Aerospace Engineering, Computer Science, or related field
Experience developing/testing features in using radars, cameras, lidars, ultrasonic sensors, or other related vehicle systems (body, electrical, chassis, powertrain)
Familiarity with actuators and control systems
Analytical and creative problem-solving skills
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

Nice To Haves

Master's degree in Electrical Engineering, Mechanical Engineering, Robotics, Controls, Aerospace Engineering, Mechatronics, Software, Computer Science, AI, Systems Engineering, Product Development or a related 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
Exposure to vehicle attributes development (e.g. vehicle dynamics, steering/chassis systems, etc.)
Experience in project management and/or an integration role
Experience with failure mode analysis techniques
Experience leading the validation and verification of ADAS sensing systems
Experience with computer vision & radar tracking of humans, vehicles, static roadway obstacles or other typical road objects.
Experience with computer vision detection & tracking of signs, lights, lanes and other key artifacts.
Experience reviewing, categorizing, and analyzing field data to determine error states / failure modes.
Experience with Matlab/Simulink
Experience with model-based design methods in Simulink for creation/development and enhancement of current/new features.
Experience in verification techniques (design verification methods, vehicle data acquisition/analysis)
Experience with virtual validation methods (HIL/MIL/SIL)

Responsibilities

Develop, refine, and execute design validation methods to ensure proper ADAS HMD feature performance at the component, system, and vehicle level across a variety of environmental and cross-carline noise factors.
Complete sign off of feature performance for ADAS HMD features
Lead / support the development of verification plans and verification methods
Support upgrades and enhancements to ADAS HMD features, by working closely with feature owners to design/execute model changes, regression testing, and test vectors, review data, identify issues, and interact with suppliers.
Support the development of data analysis techniques and methods from feature performance data generated by both track and real-world validation methods.
Closely coordinate with feature development engineers to support execution of design verification plans to ensure proper feature-level performance.
Collaborate with global functional partners to meet system and vehicle level performance requirements
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