Hybrid R&D Engineer

at Bridgestone EMEA

• Job title: R&D Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: Python
• Location requirements: Hybrid, Rome, Italy

About the role

• Tire Noise Engineer at Bridgestone contributing to tire design and noise reduction methods. Engaging in cross-functional teams for innovative tire technology and design solutions.

Responsibilities

• Contribute to the technological and methodological level up in the field of Tire Noise, both Air-Borne and Structure Borne;
• Contribute to the Technology Roadmaps for new generation products, with Tire and Vehicle Noise as key performances to care, by design insights based and mechanisms understanding;
• Deliverables – Number of projects gates achieved as per program list milestones, number of know-how findings and patents applications upon pertinent domain, number of completed trainings as per agreed development plan.
• Leveraging on FEM Full Pattern Tire and Pattern Element Simulations and on deep experimental analyses, contribute to ideation of design insights for improving tire noise of new products.
• Design, introduce, enhance and support introduction of new test methods for tire noise, both in Outdoor and Indoor facilities, for consumer and commercial tires.
• Design, introduce, enhance and support introduction of new numerical/analytical tools for tire and vehicle noise.

Requirements

• Master’s degree in mechanical engineering, Aeronautical, aerospace, material engineering are suited alternatives.
• PhD is an appreciated added value.
• Master Thesis in the field of automotive and/or tire engineering is an appreciated added value.
• Basic knowledge and/or previous experience in the field of tire design and development is an appreciated added value.
• Strong foundation in acoustics and vibrations first principles, coupled with robust and sound engineering knowledge and judgment.
• Proven track record of engineering problem-solving, utilizing first principles to resolve complex problems.
• Strong self-motivation to proactively initiate solutions.
• Ability to develop research and engineering roadmaps for planning and addressing the company's long-term problems and challenges.
• Background in experimental and physical NVH methods and techniques.
• Proficiency in computational methods, including Finite Element Analysis (FEA).
• Proficiency in scripting languages such as MATLAB and Python.
• Fluency in written and spoken English.

Benefits

• A supportive and engaging onboarding experience to ensure a smooth transition into our team.
• The opportunity to develop and grow, through training and regular mentorship.
• Corporate Social Responsibility activities.
• A truly global, dynamic and challenging work environment.
• Agility and work/life effectiveness and your long-term well-being.
• A diverse and inclusive team.