Verification And Validation Engineer Jobs in Novi, MI

We are seeking an ADAS Sensing Systems Validation Engineer to validate and continuously improve the performance of advanced driver‑assistant sensing systems across Ford's full vehicle lineup. In this role, you will develop and execute rigorous design validation methods to ensure proper sensing performance at the component, system, and vehicle level—accounting for diverse environmental conditions and cross-carline variability. You will also play a key role in defining use cases, functional requirements, and performance targets for ADAS sensing systems.

Success in this role depends on strong cross‑functional collaboration, partnering with Hardware/Software teams, Systems Engineering, and Suppliers to keep verification and validation (V&V) activities aligned with broader project goals. This position also requires strong systems‑level thinking to develop and refine test methods that ensure consistent sensing performance across Ford's entire vehicle portfolio. In addition, you will identify opportunities to apply HIL and CAE methodologies for platform and sensor verification, and champion continuous improvement of V&V processes by integrating industry best practices and emerging technologies.

• Develop, refine, and execute design validation methods to ensure sensing system performance at the component, system, and vehicle levels across diverse environmental and cross-carline noise factors.


• Support the development, design, and verification of use cases, functional-level requirements, and targets for ADAS sensing systems.


• Support upgrades and enhancements to ADAS sensing systems by collaborating with feature owners on 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 ensure consistent sensing system performance across the full range of Ford vehicle offerings.


• Ensure system design, failure mode analysis, functional safety, and related deliverables enable seamless integration with existing features while delivering an exceptional user experience.


• Support the development of data analysis techniques and methods for sensing system data generated across various test environments (SIL/HIL/Bench/Vehicle) to meet performance specifications.


• Coordinate with cross-functional teams—including Software Development, Program Management, Systems Engineering, and Suppliers—to align verification and validation (V&V) activities with overall project goals.


• Identify and implement opportunities to leverage HIL and CAE methods for ADAS platform and sensor performance verification.


• Drive continuous improvement of V&V processes and methodologies by applying industry best practices and emerging technologies to enhance efficiency and effectiveness.

You'll have...

• 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 features and sensing systems in the ADAS domain, using radars, cameras, lidars, ultrasonic sensors, or related vehicle systems (body, electrical, chassis, powertrain)


• Proven technical skills using Vector, CANalyzer, and CANape tools


• Strong analytical and creative problem‑solving skills

• Master's degree in Electrical Engineering, Mechanical Engineering, Robotics, Controls, Aerospace Engineering, Computer Science, or a related field


• Experience leading the 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


• Understanding of embedded hardware and software design


• Experience reviewing, categorizing, and analyzing field data to determine error states/failure modes


• Experience developing, conducting, observing, and reporting on statistically relevant verification and validation methods across the global population


• Experience with MobilEye EyeQ technology


• Exposure to vehicle attribute development (Vehicle Dynamics, NVH, Package, Performance/FE, etc.)


• Experience in project management and/or an integration role, leading and directing other team members


• Experience with failure mode analysis techniques


• Understanding of Kalman filtering, vehicle dynamics, and linear/nonlinear control methods


• Software engineering and algorithm development experience in any language (e.g., C, C++, Python, MATLAB)

• 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 7 and ranges from $99,600-$146,600., This position is a salary grade 8 and ranges from $115,000-$162,900.

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 with a requirement to be onsite four or more days per week. #LI-Hybrid

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