Description
At Ford Motor Company, we're seeking a Diagnostics Systems Engineer to refine existing platform system requirements as needed to provide diagnostic and configuration capabilities to new content within the existing ADAS system. As part of the development process, you'll follow new and modified requirements through validation, working closely with implementing and testing teams to ensure the requirements are met. For new vehicle programs utilizing an existing ADAS system, you'll review validation results for acceptance and investigate any variations in performance from previous vehicles with that system. You'll process performance deviations where acceptable. Additionally, you'll lead cross-functional efforts to root-cause diagnostic performance concerns identified during pre-production build phases and post-production.
Key responsibilities include: Refine existing platform system requirements as needed to provide diagnostic and configuration capabilities to new content within the existing ADAS system. Follow new and modified requirements through validation, working closely with implementing and testing teams to ensure the requirements are met. Review validation results for acceptance and investigate any variations in performance from previous vehicles with that system. Process performance deviations where acceptable. Lead cross-functional efforts to root-cause diagnostic performance concerns identified during pre-production build phases and post-production.
Requirements include: Bachelor's degree or foreign equivalent in Systems Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, Industrial Engineering or related field. 1 year of experience in the job offered or related occupation. Utilizing industry-standard Model Based System Engineering tools to understand and develop the design of a system's architecture. Defining requirements dictating performance of an ADAS system, component or feature. Performing failure mode analysis/FMEA on an ADAS system, component or feature. Developing or signing off test plans to validate a system, component, or feature's performance to defined requirements. Analyzing vehicle or sensor data to identify system inefficiencies. Root-causing ADAS performance issues during various phases of a system launch, including SIL, HIL or vehicle level testing. Optimizing system design through changes to hardware or decision-making logic to achieve improved performance to specifications.