Treadwear Performance Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Learning budget

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Verification

Not verified last checked Jun 13, 2026

Salary

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Schedule

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Weekend work

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Application

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Deadline

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About this role

Treadwear Performance Engineer LU GICL About Goodyear We're dedicated to producing, innovating, and servicing the best tires in the world. For over 125 years, Goodyear has led the way in developing smart solutions that shape the future of mobility. Today, we're one global team united by bold thinking, relentless drive, and a passion to exceed expectations. If you're ready to embrace change and make an impact in your career, let's go. Why This Role Matters Global Performance & Simulation operates with a core vision of accelerating the tire development process through state-of-the-art knowledge and next-gen technologies to achieve one physical iteration. Our mission is rapid development and integration of virtual de-risking tools & processes reducing tire builds and testing. Life Cycle Mechanics drives to increase productivity of product development and drive new technology in treadwear, durability, tire energy, and wet & snow contact mechanics. As a Treadwear Performance Engineer , you will optimize tire designs to achieve treadwear performance targets across multiple product lines. This role blends analytical analysis, virtual assessment, experimental validation, and cross‑functional collaboration to reduce performance risk and ensure tires deliver superior treadwear performance under diverse operating conditions. You will lead and support advanced technology initiatives aimed at expanding treadwear performance prediction capabilities deeper into the virtual development environment. What You'll Do Drive the development of next-generation tire performance technologies, expanding simulation-based, data-based, and test-based capabilities. Develop and refine predictive wear and performance models using FEA , wear simulations, statistical analysis, and modern data science methods. Correlate

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