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ADAS Help Me Drive Verification & Validation Engineer

Ford Global Career Site
Dearborn, USA
Mid
Hybrid
$66,660 - $175,000
Discovered 2 weeks ago

Full Job Posting

Qualifications

  • You'll bring...
  • 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
  • Even better, you may have...
  • 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
  • You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
  • As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
  • 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.
  • This position is a salary grade 5 - 8 and ranges from $66,660 - $175,000.
  • For more information on salary and benefits, click here: https://fordcareers.co/GSR
  • Visa sponsorship is not available for this position.
  • Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
  • This position is hybrid (onsite four days per week). #LI-Hybrid
  • #LI-CL2
  • 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.

Responsibilities

  • What you'll do... • 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 • 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
  • 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
  • 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

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