ADAS Verification and Validation Engineer

Ford•Dearborn, MI
•$69,000 - $162,900•Hybrid

About The Position

Ford is seeking an ADAS Sensing Systems Validation Engineer to validate and continuously improve advanced driver-assistance sensing system performance across its vehicle lineup. The engineer develops and executes design validation methods at the component, system, and vehicle levels, accounting for diverse environmental conditions and cross-carline variability. The role also supports defining use cases, functional requirements, and performance targets for ADAS sensing systems. The position collaborates with Hardware and Software teams, Systems Engineering, Program Management, feature owners, and suppliers to align verification and validation activities with project goals. It supports ADAS system upgrades through modeling changes, regression testing, test-vector support, data review, issue identification, and supplier coordination. The engineer develops system- and subsystem-level designs, interfaces, and specifications, and supports failure mode analysis, functional safety, and integration with existing features. The role includes developing data analysis methods for sensing-system data from SIL, HIL, bench, and vehicle test environments; identifying opportunities to use HIL and CAE for platform and sensor verification; and improving V&V processes using industry best practices and emerging technologies. The position is hybrid, with a requirement to work onsite four or more days per week. Salary grade 5–8, with a stated range of $69,000–$162,900. Visa sponsorship is not available.

Requirements

  • Bachelor's degree in Electrical Engineering, Mechanical Engineering, Robotics, Controls, Aerospace Engineering, Computer Science, or a related field.
  • At least 2 years of validation or test engineering experience in a professional or educational setting, or a combination of both.
  • Experience with data collection and analysis in laboratory, HIL, and vehicle test environments.
  • General knowledge of or experience developing or testing ADAS features and sensing systems using radar, cameras, lidar, ultrasonic sensors, or related vehicle systems.
  • Technical skills using Vector, CANalyzer, and CANape tools.
  • Strong analytical and creative problem-solving skills.

Nice To Haves

  • Master's degree in Electrical Engineering, Mechanical Engineering, Robotics, Controls, Aerospace Engineering, Computer Science, or a related field.
  • Experience leading validation and verification of ADAS sensing systems.
  • Experience with computer vision and radar tracking of people, vehicles, static roadway obstacles, or other typical road objects.
  • Experience with computer vision detection and tracking of signs, lights, lanes, and other key artifacts.
  • Understanding of embedded hardware and software design.
  • Experience reviewing, categorizing, and analyzing field data to determine error states or failure modes.
  • Experience developing, conducting, observing, and reporting statistically relevant verification and validation methods across the global population.
  • Experience with MobilEye EyeQ technology.
  • Exposure to vehicle attribute development, such as vehicle dynamics, NVH, package, or performance/FE.
  • Experience in project management and/or an integration role leading and directing team members.
  • Experience with failure mode analysis techniques.
  • Understanding of Kalman filtering, vehicle dynamics, and linear or nonlinear control methods.
  • Software engineering and algorithm development experience in a language such as C, C++, Python, or MATLAB.

Responsibilities

  • Develop, refine, and execute design validation methods for sensing systems at component, system, and vehicle levels across environmental conditions and cross-carline variability.
  • Support development, design, and verification of ADAS sensing-system use cases, functional-level requirements, and performance targets.
  • Collaborate with feature owners on ADAS sensing-system upgrades and enhancements, including 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 to support consistent sensing performance across Ford vehicle offerings.
  • Support system design, failure mode analysis, functional safety, and related deliverables for integration with existing features and user experience.
  • Develop data analysis techniques and methods 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 opportunities to use HIL and CAE methods for ADAS platform and sensor performance verification.
  • Improve V&V processes and methodologies using industry best practices and emerging technologies.

Benefits

  • Immediate medical, dental, vision, and prescription drug coverage.
  • Flexible family care days, paid parental leave, new parent ramp-up programs, and subsidized backup childcare.
  • Family-building benefits, including adoption and surrogacy expense reimbursement and fertility treatments.
  • Vehicle discount program for employees and family members and management leases.
  • Tuition assistance.
  • Employee resource groups.
  • Paid time off for individual and team community service.
  • Paid holidays, including the week between Christmas and New Year's Day.
  • Paid time off and the option to purchase additional vacation time.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service