Hybrid Systems Simulation Engineer, Robustness

at Ford Motor Company

• Job title: Systems Simulation Engineer, Robustness
• Job type: Internship
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cyber Security, Python
• Location requirements: Hybrid, Naucalpan de Juarez, Mexico

About the role

• Systems Simulation & Robustness Engineer designing and validating complex vehicle features using simulation methodologies. Focused on ensuring feature robustness working in an Agile environment.

Responsibilities

• 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.
• 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.
• 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.
• 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.

Requirements

• 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).
• 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.

Benefits

• Health insurance
• Flexible work arrangements
• Paid time off
• Professional development