ABOUT THE POSITION

The Global Tire Intelligence & Solutions (GTIS) team is seeking a highly skilled and motivated Principal Engineer to lead the development of advanced algorithms that combine vehicle dynamics principles with state estimation techniques such as Kalman filtering. These algorithms are core enablers for delivering next-generation tire intelligence and mobility solutions to OEM and fleet customers.
The ideal candidate will bring deep expertise in vehicle behavior modeling, tire mechanics, and state estimation, and will be responsible for translating these capabilities into robust, real-time software algorithms.

REQUIRED QUALIFICATIONS

• Ph.D. in Mechanical Engineering, Controls, or related field with 4+ years of experience OR Master’s degree with 7+ years in algorithm development, vehicle dynamics, or estimation systems
• Demonstrated expertise in vehicle dynamics modeling, tire mechanics, and real-time estimation algorithms
• Hands-on experience with Kalman filtering (EKF/UKF), observers, or sensor fusion algorithms for dynamic systems
• Experience working on global, cross-functional teams and leading technical workstreams across multiple regions
• Strong interest in connected mobility, intelligent sensing, and software-defined vehicle functions

TECHNICAL SKILLS & COMPETENCIES

• Deep knowledge of vehicle dynamics for various platforms (passenger cars, commercial vehicles, HD trucks)
• Proficiency with simulation environments like CarMaker, VI-Grade, CarSim
• Practical understanding of tire modeling (Magic Formula, FTire, MF-Swift, CDTire) and tire testing data interpretation
• Strong foundation in estimation theory, including Kalman/Extended/Unscented filters, and observer design
• Familiarity with virtual sensing, slip estimation, vehicle state estimation, and control-oriented modeling
• Experience implementing estimation algorithms on embedded or real-time platforms
• Ability to lead the transition of technology from prototype to production
• Skilled at creating and documenting best practices, architecture, and technical standards
• Strong mentoring, communication, and cross-functional collaboration skills

• Serve as a technical lead and subject matter expert in vehicle dynamics and state estimation for the global algorithm development team
• Architect and develop algorithms that fuse vehicle sensor signals (e.g., CAN, IMU, TPMS) using estimation techniques such as Kalman filters, particle filters, or observers
• Shape and guide the technology strategy for dynamic state sensing, estimation, and control
• Provide technical direction to projects that improve tire-based estimations of vehicle load, slip, wear, friction, and other performance-relevant quantities
• Continuously evaluate the competitive landscape, ensuring that Goodyear’s IP portfolio remains strong and differentiated
• Mentor and coach algorithm developers in areas of state-space modeling, filtering, and dynamic system analysis
• Represent Goodyear externally in industry forums as a recognized expert in estimation-based vehicle dynamics algorithms