Engineer Clutch & Decoupling

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What we offer:

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

Group Summary:

Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That’s what we’re passionate about at Magna Powertrain, and we do it by creating world-class powertrain systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex powertrain systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Powertrain.

Job Responsibilities:

Job title:

Engineer Clutch & Decoupling

Job Introduction:

We are seeking a highly skilled Mechanical Design Engineer specializing in Transmission Systems (Hybrids and eDrives), with a focus on the design and development of Gearbox for automotive applications. The ideal applicant should have an extensive knowledge of Catia V5 with in depth

understanding on Gearbox and components like Clutches, Parklock, Shift System etc.

Major Responsibilities:

• Design (3D, 2D, materials, ...)
• Drawings - Create and update drawings for change management and new design
• Calculation & Simulation - Calculations performed by component engineers
• Plant & Supplier - Collaboration in terms of manufacturing process and deviations, quality and robustness

Skills and competencies:

• Modify drawings according to instructions
• Derive drawings from existing designs in CAD.
• Create and implement design concepts in CAD
• Deep and comprehensive understanding of the function of wet clutches and wet dual clutches in terms of specification, manufacturing and assembly details. Example of a work item is deviations, quality, robustness ...
• Perform calculations related to strength, fatigue, robustness and tolerance analysis

Educational Qualifications:

University degree in mechanical engineering, mechatronics, physics, or similar domain with a specialization in mechanical or electrical systems.

Work experience:

3-8 years of professional experience working in the relevant field.

Tools knowledge:

• Catia
• MS-Office, Excel, PPT
• Simulation tool for strength calculation (e.g. Kissoft)
• SAP/PLM

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

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