Goodyear

Requisition ID: 125646

Sponsorship Available: Yes

Relocation Assistance Available: Yes

Goodyear. More Driven.

Overview:

The GTIS team is seeking a highly motivated Algorithm Development Engineer to design and implement advanced signal processing and machine learning algorithms for tire-mounted sensor (TMS) systems. These systems are central to enabling next-generation tire intelligence for connected, autonomous, and electric vehicles.

This role combines tire physics, data-driven modeling, and embedded signal processing to extract meaningful insights from raw sensor data. You will work closely with multi-disciplinary teams across software, electronics, and tire engineering to push the boundaries of smart sensing.

Key Responsibilities

• Develop signal processing pipelines for data collected from tire-mounted sensors and vehicle sensor signal data.
• Design and implement algorithms to estimate tire and road surface conditions using physics-based models and data-driven approaches.
• Build and validate physics based and machine learned models using lab and vehicle test data.
• Collaborate with tire modelers and vehicle dynamics teams to ensure consistency between physical behavior and algorithm outputs.
• Translate algorithms into real-time embedded code for on-tire or gateway execution.
• Support IP generation and contribute to technical publications or external collaborations.
• Engage in algorithm benchmarking and performance validation under diverse road, load, and environmental conditions.

Qualifications

• Master’s in Mechanical Engineering, Electrical Engineering, Applied Physics, or related field with 5+ years of relevant experience.
• Strong understanding of tire mechanics, tire-road interaction, and vehicle dynamics.
• Experience in time-series signal processing (FFT, filtering, statistical features, spectral analysis).
• Proficiency in machine learning techniques (e.g., supervised learning, classification, regression, clustering) applied to sensor data.
• Exposure to physical modeling frameworks (e.g., MF-Tyre, FTire, CDTire) and multibody simulation tools.
• Hands-on experience with algorithm development in MATLAB/Simulink
• Familiarity with embedded system constraints and implementation of lightweight models.

Technical Skills & Competencies

• Deep expertise in sensor signal processing
• Experience working with high-frequency data from tire or chassis sensors.
• Familiarity with estimation and classification models used in edge devices.
• Skilled in managing noisy or uncertain sensor data in real-world conditions.
• Strong analytical mindset with the ability to bridge physics-based modeling and data-driven learning.
• Ability to work cross-functionally with electronics, software, and tire engineers.
• Strong communication skills and a collaborative working style.

About The Goodyear Tire & Rubber Company

Goodyear is one of the world's largest tire companies. It employs about 68,000 people and manufactures its products in 53 facilities in 20 countries around the world. Its two Innovation Centers in Akron, Ohio, and Colmar-Berg, Luxembourg, strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to www.goodyear.com/corporate.

Goodyear is an Equal Employment Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.

If you need reasonable accommodation to complete the online application, or any other part of the employment process, please contact the Goodyear Candidate Care Line at 330.796.4500.

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