Verification And Validation Engineer

We are seeking an ADAS Sensing Systems Validation Engineer to validate and continuously improve the performance of advanced driver-assistance 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.

ADAS Sensing Systems Verification and Validation Engineer

• 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.
• 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.