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Job Post Details

Magna International logo

Engineer CAE Durability - job post

Magna International
3.5 out of 5 stars
Bengaluru, Karnataka

Job details

Job type

  • Full-time

Location

Bengaluru, Karnataka

Full job description

Job descriptions may display in multiple languages based on your language selection.

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 CAE Durability

Job Introduction:

Modelling and analyzing transmission systems through 3D FEM Modeling using Altair HyperWorks.

Major Responsibilities:

  • Analyzing powertrain components for loads, stresses, and Lifetime.

  • Calculating housings and other transmission components for hybrid and electric powertrain designs using simulation tools

  • Preprocessing of geometry in Altair HyperMesh/SimLab

  • Defining boundary conditions, perform Postprocessing and check for plausibility and Interpretation of simulation results

  • Creating reports according to Magna Powertrain specifications and templates, including recommendations and proposals for design optimization

  • Writing technical documents and presenting the results in an efficient manner

Knowledge and Education:

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

Work Experience:

  • 3-10 years of professional experience working in the field of CAE simulations (preferably in automotive transmission systems)

Skills and competencies:

  • Advanced knowledge of the working principle of transmission systems

  • Basic Knowledge of CATIA V5 Software

  • Advanced Knowledge of SimLab, HyperMesh, Abaqus and FEMFAT

  • Advanced Knowledge of Finite Element Methods and modeling

  • Communication skills, self-initiative, and high level of accountability

  • Highly motivated team player with ability to co-ordinate across geographies

  • Working knowledge of Microsoft Office tools

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.

Worker Type:

Regular / Permanent

Group:

Magna Powertrain
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