# ADAS Help me Drive Verification & Validation Engineer **Company**: Ford Motor Company **Location**: Dearborn, MI **Work arrangement**: hybrid **Salary**: $66,660 - $175,000 **Category**: Engineering **Industry**: Automotive **Wikidata**: https://www.wikidata.org/wiki/Q44294 **Apply**: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/66937?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_909c264d-efb ## Description In this position as an ADAS Help Me Drive (HMD) Verification & Validation (V&V) Engineer at Ford Motor Company, you will focus on ensuring that the feature delivers customer expectations. You will develop and implement feature requirements and specifications, including functional safety, for features such as Adaptive Cruise Control, Lane Centering Assist, Lane Keeping, Driver Monitoring, BlueCruise, automated lane change, and lane biasing. You will validate these features according to the systems engineering model and 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. **Responsibilities:** - Develop, refine, and execute design validation methods to ensure proper ADAS HMD feature performance at the component, system, and vehicle level across various environmental and cross-carline noise factors. - Complete sign-off of feature performance for ADAS HMD features. - Lead or 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. - Cascade system-level requirements to functional partners. - Lead or 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. **Qualifications:** - Bachelor’s Degree in Electrical Engineering, Mechanical Engineering, Robotics, Controls, Aerospace Engineering, Computer Science, or a related field. - Experience developing/testing features using radars, cameras, lidars, ultrasonic sensors, or other related vehicle systems. - Familiarity with actuators and control systems. **Preferred Qualifications:** - 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. - 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. - Experience with virtual validation methods. - 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. **Benefits:** - Immediate medical, dental, vision, and prescription drug coverage. - Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care, and more. - Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more. - Vehicle discount program for employees and family members and management leases. - Tuition assistance. - Established and active employee resource groups. - Paid time off for individual and team community service. - A generous schedule of paid holidays, including the week between Christmas and New Year’s Day. - Paid time off and the option to purchase additional vacation time. ## Skills ### Required - Electrical Engineering - Mechanical Engineering - Robotics - Controls - Aerospace Engineering - Computer Science - radars - cameras - lidars - ultrasonic sensors - actuators - control systems ### Nice to have - Master’s degree in Electrical Engineering - Mechatronics - Software - AI - Systems Engineering - Product Development - Systems Engineering principles - robotic verification and testing methods - electromechanical systems - differential GPS equipment - CAN - CANFD - Autosar - Auto-Ethernet - Vector CANape - CANalyzer - dSPACE Controls Desk - Matlab/Simulink - model-based design methods - virtual validation methods --- Source: [Apply at efds.fa.em5.oraclecloud.com](https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/66937?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)