Summary: Seeking a highly skilled Systems Simulation & Robustness Engineer to lead design, validation, and optimization of complex vehicle features using SE methodologies. Highlights: 1. Lead design, validation, and optimization of complex vehicle features. 2. Drive feature robustness through rigorous simulation and automated testing. 3. Work within an Agile environment on cutting-edge systems. We are seeking a highly skilled Systems Simulation \& Robustness Engineer to lead the design, validation, and optimization of complex vehicle features. The ideal candidate will bridge the gap between architectural design and verification using Systems Engineering (SE) methodologies. You will be responsible for ensuring feature robustness through rigorous simulation (SiL), automated testing (BDD), and failure mode avoidance processes (DFMEA) within an Agile environment Required Qualifications * Education: Bachelor’s degree in Electrical Engineering, Mechatronics, Computer Science, or related field. * Simulation Mastery: Advanced proficiency in Matlab Simulink * Coding Skills: Strong working knowledge of Python for scripting and test automation. * Testing Frameworks: Experience with BDD/Gherkin and test automation workflows. * Robustness: Deep understanding of DFMEA methodologies and quality processes. * Communication: Understanding of vehicle networking protocols (CAN, Ethernet). Preferred Qualifications: * Functional Safety: Familiarity with HARA, Safety Goals, and FSRs/TSRs. * Cybersecurity: Basic understanding of TARA and Cybersecurity requirements. * Ford Tools: Experience with Ford internal tools such as FEDE, VSEM, and GPDS processes. * Software Development: Basic knowledge of Python and Embedded Software principles (AUTOSAR). * Version Control: Experience using Git/GitHub for managing models and code. Soft Skills \& Behaviors (Ford OS) * Excellence: Ability to train others (Leverage level) in core simulation and robustness tools. * Bias for Action: Proactive in identifying system gaps and proposing solutions using data driven simulation. * Collaboration: Strong ability to work within Agile teams (Epics, Sagas) and communicate technical concepts to non\-technical stakeholders Key Responsibilities Model\-Based Design \& Simulation * Lead the development of system models using Matlab, Python and Magic Draw to define logical architectures and behavior. * Develop and execute complex control strategies using Matlab Simulink \& Stateflow to validate logic before implementation. * Perform SiL (Software in Loop) testing to verify feature performance against requirements early in the design cycle. 2\. Robustness \& Quality Assurance * Champion the Failure Mode Avoidance process; lead and facilitate DFMEA workshops to identify risks and define mitigation strategies. * Apply 6 Sigma (DMAIC/DFSS) principles to solve complex engineering problems and improve system reliability. * Analyze warranty and quality metrics (GQRS, AWS) to drive continuous improvement in current and future designs. 3\. Automated Verification \& Validation * Develop and maintain Behavior Driven Development (BDD) scripts using Gherkin syntax to translate requirements into executable tests. * Create and manage Step Definitions using the Behave package in Python. * Ensure traceability between requirements, architecture, and test cases using tools like JAMA and Jira. 4\. Systems Architecture \& Integration * Define and analyze Electrical Architectures, including ECU topology, sensor/actuator interfaces, and signal distribution. * Collaborate with cross\-functional teams to align Unified Backlog priorities and manage dependencies in an Agile/Scrum environment.