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Ford Motor Company

Builds vehicles for drivers and commercial fleets

ADAS Help Me Drive Verification & Validation Engineer

QA & TestingConfirmed live in the last 24 hours
Full-timeDearborn, MI, USA$66.7k - $175k

About the Job

Requirements

  • A bachelor's degree in Electrical Engineering, Mechanical Engineering, Robotics, Controls, Aerospace Engineering, Computer Science, or a related field.
  • Experience developing or testing features using radar, cameras, lidar, ultrasonic sensors, or other related vehicle systems, including body, electrical, chassis, or powertrain systems.
  • Familiarity with actuators and control systems.

Responsibilities

  • Develop, refine, and execute design validation methods to ensure proper ADAS Help Me Drive feature performance at the component, system, and vehicle levels across environmental and cross-carline noise factors.
  • Complete sign-off of feature performance for ADAS Help Me Drive features.
  • Lead or support the development of verification plans and verification methods.
  • Support upgrades and enhancements to ADAS Help Me Drive features by working with feature owners to design and execute model changes, regression testing, and test vectors; review data, identify issues, and interact with suppliers.
  • Support development of data analysis techniques and methods using feature performance data generated through track and real-world validation.
  • Coordinate with feature development engineers to support execution of design verification plans and 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 development and sign-off of ADAS features on vehicle programs.
  • Support feature calibration studies to satisfy vehicle-level performance requirements.
  • Develop MATLAB and Controller Area Network tools for data collection and analysis.
  • Identify opportunities to use hardware-in-the-loop and computer-aided engineering methods for feature calibration and performance verification.
  • Plan and execute real-world evaluations of ADAS features through vehicle, hardware-in-the-loop, and virtual testing, and identify system problems and issues.
  • Support and coordinate root-cause analysis with internal functions and external suppliers to ensure the delivered system achieves feature requirements.
  • Benchmark competitors and monitor public-domain requirements.

Desired Qualifications

  • A master's degree in Electrical Engineering, Mechanical Engineering, Robotics, Controls, Aerospace Engineering, Mechatronics, Software, Computer Science, artificial intelligence, 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 such as Controller Area Network, CAN FD, AUTOSAR, and automotive Ethernet.
  • Experience using Vector CANape, CANalyzer, and dSPACE ControlDesk or similar tools.
  • Exposure to vehicle attributes development, such as vehicle dynamics and steering or chassis systems.
  • Experience in project management or an integration role.
  • Experience with failure mode analysis techniques.
  • Experience leading validation and verification of ADAS sensing systems.
  • Experience with computer vision and radar tracking of humans, vehicles, static roadway obstacles, or other typical road objects.
  • Experience with computer vision detection and tracking of signs, lights, lanes, and other key artifacts.
  • Experience reviewing, categorizing, and analyzing field data to determine error states and failure modes.
  • Experience with MATLAB and Simulink.
  • Experience with model-based design methods in Simulink for creating, developing, and enhancing current or new features.
  • Experience with verification techniques, including design verification methods and vehicle data acquisition and analysis.
  • Experience with virtual validation methods, including hardware-in-the-loop, model-in-the-loop, and software-in-the-loop.
  • Experience with vehicle data collection and analysis tools, including MATLAB and Controller Area Network tools.
  • Strong leadership skills and a focus on quality and improving customer satisfaction.
  • Good communication and project management skills.
  • Strong oral and written communication skills.
  • Ability to work independently and take initiative.
  • Strong teamwork and interpersonal skills.

About the Company

Ford Motor Company

Builds vehicles for drivers and commercial fleets

Ford Motor Company designs and builds vehicles for individual drivers and commercial fleets worldwide, spanning Ford trucks and SUVs and Lincoln luxury models. Its Mustang sports car and Bronco off-road vehicles sit alongside gasoline, hybrid and electric products. The company sells vehicles, parts and accessories through dealers, while Ford Pro combines commercial vehicles with fleet software, charging and maintenance services; Ford Credit earns money from customer and dealer financing and leases. Connected services add subscriptions for vehicle features and business operations. Founded by Henry Ford in 1903, the company is headquartered in Dearborn, Michigan.

Company size
10,001+
Company stage
IPO
Headquarters
Dearborn, MI
Founded
1903

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