Forward Model Quality Infotainment Engineer

If good is just never good enough for you, Ford Qualityshares your passion for striving for perfection. We’re responsible for driving the continuous improvement efforts that enable Ford to deliver the highest quality products and services. Help us drive operational excellence through such innovative, proprietary initiatives as our Global Product Development System, Quality Operating System and New Model Launch. Work cross-functionally and closely with integrated teams in Manufacturing, Product Development, Purchasing, Marketing, Sales and Service.

Today’s vehicles are shaped as much by software and connected experiences as they are by hardware—making Software Defined Vehicles the new standard. Customers expect every system to work flawlessly, every time. In this role, you will serve as the quality champion for electrical, infotainment, and connectivity systems on future vehicle programs, identifying potential failures before they reach customers. You will partner with engineers, suppliers, and problem-solving specialists across the business, using data, structured risk analysis, and modern AI-powered tools to build robustness into vehicles from the earliest stages of design.

If you enjoy solving complex technical challenges and want your work to directly protect the ownership experience for millions of drivers, this role is for you.

• Conduct Change Point Analysis (CPA) and work with Product Development and full-service suppliers to ensure proper FMA documentation, including Boundary Diagrams, P-Diagrams, quality history, reliability checklists (RCLs), and SCCAFs.
• Partner with design engineers, program management, suppliers, and dedicated problem-solving teams to align on root-cause investigations and drive corrective actions to closure ,confirm the fix plan, and help develop Prevent-Recurrence Actions .
• Audit program quality deliverables against the latest Global Product Development Process(GPDS) milestones, Design Verification Plan and Report (DVP&R) documentation, and launch readiness criteria to confirm systems are prepared to move to the next phase.
• Analyze quality, warranty, and customer satisfaction data using AI-powered analytics tools and enterprise warranty/reporting systems to identify trends, prioritize risk areas.
• Use approved AI-assisted tools alongside industry-standard platforms such as Jira, Jama Connect, and internal engineering requirements systems to improve documentation reviews and strengthen cross-team collaboration.

• Education:
  
  Bachelor’s degree in Electrical Engineering, Computer Engineering, Systems Engineering, Aerospace Engineering, or a related discipline — or equivalent practical experience.
• Experience applying Problem Solving methods
• Strong verbal and written communication skills
• Strong problem solving and analytical skills
• Passion for improving product quality
• Experience:
  
  3 to 5+ years of experience in automotive or electronics quality engineering, with exposure to electrical hardware and/or embedded software systems.
• Technical
  
  Skills:
  
  Working knowledge of FMEA/DFMEA methodology, root-cause problem-solving techniques such as 5-Why analysis, and verification/validation planning.
• Tools:
  Familiarity with—or willingness to quickly learn—requirements management, issue tracking, engineering design, and warranty analytics tools, including Jira, Jama Connect, Ford Engineering Design Environment (FEDE), Global System for Analytics and Reporting (GSAR), Magic Draw, AI-assisted DFMEA review tools, and enterprise data/reporting systems. Ability to pull and analyze relevant data, partner with product engineering teams to understand issues, and support preventive actions and resolution plans.
  
  Familiarity with Model-Based Systems…