Verification and Validation Engineer

Jobtailor; Dearborn (MO); On-site; USD 80,000 - 110,000; Full time

Job summary

Jobtailor seeks an experienced validation engineer to develop ADAS sensing validation across components, systems and vehicles. You’ll refine use cases, requirements and performance targets, coordinate with suppliers, and support upgrades via modeling changes, test vectors, data review and issue identification.

Your role emphasizes V&V methods, data analytics, and cross-functional collaboration to ensure safety and user experience across Ford vehicle offerings.

Qualifications

• Bachelors in engineering or related field required.
• 2+ years in validation/test engineering in professional or academic settings.
• Experience with data collection and analysis in lab, HIL, and vehicle tests.
• Familiarity with ADAS sensing systems and vehicle subsystems.

Responsibilities

• Develop, refine, and execute design validation methods for ADAS sensing performance at component, system, and vehicle levels.
• Support development, design, and verification of use cases, functional requirements, and performance targets.
• Support ADAS sensing-system upgrades through modeling changes, regression testing, test-vector support, data review, issue identification, and supplier coordination.
• Develop and improve system- and subsystem-level designs, interfaces, and specifications across Ford vehicle offerings.
• Ensure system design, failure mode analysis, functional safety, and related deliverables support feature integration and user experience.
• Develop data-analysis techniques for sensing-system data from SIL, HIL, bench, and vehicle test environments.
• Coordinate with Software Development, Program Management, Systems Engineering, and Suppliers to align V&V activities with project goals.
• Identify and implement HIL and CAE methods for ADAS platform and sensor verification.
• Improve V&V processes and methodologies using industry best practices and emerging technologies.

Skills

Design validation methods

Data analysis techniques

System design and specifications

Regression testing

Sensing system testing

Issue identification

V&V processes

Cross-functional coordination

Education

Bachelor's degree in Electrical/Mechanical/Robotics/Controls/Aerospace/CS

Tools

HIL Testing

SIL Testing

Vector

CANalyzer

CANape

Vehicle Test Environments

Job description

• Develop, refine, and execute design validation methods for ADAS sensing performance at component, system, and vehicle levels
• Support development, design, and verification of use cases, functional requirements, and performance targets
• Support ADAS sensing-system upgrades through modeling changes, regression testing, test-vector support, data review, issue identification, and supplier coordination
• Develop and improve system- and subsystem-level designs, interfaces, and specifications across Ford vehicle offerings
• Ensure system design, failure mode analysis, functional safety, and related deliverables support feature integration and user experience
• Develop data-analysis techniques for sensing-system data from SIL, HIL, bench, and vehicle test environments
• Coordinate with Software Development, Program Management, Systems Engineering, and Suppliers to align V&V activities with project goals
• Identify and implement HIL and CAE methods for ADAS platform and sensor verification
• Improve V&V processes and methodologies using industry best practices and emerging technologies

Requirements

• Bachelor's degree in Electrical Engineering, Mechanical Engineering, Robotics, Controls, Aerospace Engineering, Computer Science, or a related field
• 2+ years of validation/test engineering experience in a professional or educational setting, any combination
• Experience with data collection and analysis in laboratory, HIL, and vehicle test environments
• General knowledge of or experience developing/testing ADAS features and sensing systems using radars, cameras, lidars, ultrasonic sensors, or related vehicle systems
• Proven technical skills using Vector, CANalyzer, and CANape tools
• Strong analytical and creative problem-solving skills
• Candidates must be legally authorized to work in the United States
• Visa sponsorship is not available for this position
• Master's degree and other listed preferred qualifications are preferred, not required

Core Competencies

Demonstrates expertise in developing and executing design validation methods for ADAS sensing performance, with strong capabilities in data analysis and system design. Proficient in coordinating cross-functional teams to enhance verification and validation processes in automotive applications.

Highest-signal resume keywords

• ADAS Sensing Performance Validation
• Data Collection And Analysis
• Vector, CANalyzer, And CANape Proficiency
• HIL And CAE Methods Implementation
• Failure Mode Analysis And Functional Safety

ATS Optimization Keywords

Hard Skills

• Design Validation Methods
• Data Analysis Techniques
• System Design And Specifications
• Functional Requirements Development
• Regression Testing
• Test-Vector Support
• Issue Identification
• Sensing System Testing
• Modeling Changes
• Performance Targets

Soft Skills

• Analytical Problem-Solving
• Creative Problem-Solving

Industry Keywords

• Electrical Engineering
• Mechanical Engineering
• Robotics
• Controls
• Aerospace Engineering
• Computer Science
• Automotive Applications
• Supplier Coordination
• V&V Processes
• Emerging Technologies

Tools & Technologies

• HIL Testing
• SIL Testing
• Vehicle Test Environments
• ADAS Features Development
• Sensor Verification