FEA Tire Modeling Engineer

Maxxis International - USA is seeking an outstanding FEA Tire Modeling Engineer to join our Modeling Team at the Maxxis Technology Center in Suwanee, GA .

The Technology Center works closely with global research and development partners to design and deliver high-quality tire products for customers throughout North America.

This is an exciting opportunity for an engineer who is passionate about tire technology, computational modeling, and automotive performance.

The ideal candidate will possess strong analytical and problem-solving skills, experience with finite element analysis (FEA), excellent communication abilities, and a desire to contribute to innovative tire development programs.

We currently operate on a hybrid work schedule (3 days in office and 2 days remote).

Applicants must be able to commute to and work from our Suwanee, GA Technology Center.

• Develop, build, and maintain advanced finite element tire models using ABAQUS to support tire design, performance prediction, and product development activities
• Create and enhance proprietary tire modeling methodologies, simulation workflows, and automation tools to improve analysis efficiency, accuracy, and engineering decision-making
• Perform structural, static, dynamic, thermal, rolling, durability, and contact simulations to evaluate tire behavior under a variety of conditions
• Develop, validate, and optimize FEA models of tire components and assemblies
• Partner with tire design, materials, testing, manufacturing, and OE development teams to identify performance opportunities and provide simulation-driven recommendations
• Analyze simulation results, identify performance trends, and present technical findings and recommendations to engineering teams and management
• Support Original Equipment (OE) tire development programs by providing virtual validation, design optimization, and technical analysis throughout the product development cycle
• Prepare technical documentation, engineering reports, presentations, and validation studies to support design reviews and product development decisions