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Magna International

Lead CAE Analyst

Posted 2 Hours Ago
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Hybrid
Bhosari, Pune, Maharashtra, IND
Senior level
Hybrid
Bhosari, Pune, Maharashtra, IND
Senior level
Lead CAE Analyst responsible for developing CAE automation solutions using Python, Java, Visual Studio Code, and GitHub. Performs and analyzes LS-DYNA automotive crash simulations for seating systems, including model setup, validation, optimization, correlation, and results interpretation. The role streamlines engineering workflows, improves process efficiency, and reduces manual effort.
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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:
Magna is an innovative leader in the development and manufacturing of high quality complete seating systems. Our solution includes seating structures, mechanisms and hardware, as well as foam and trim products for global automotive, heavy truck and bus industries. Our capabilities include market and consumer research; full concept development; design and engineering capabilities; testing, validation and world-class manufacturing. Our award-winning seating solutions are developed from consumer research, finding the ease of operation to be comfortable, convenient and connected.

Job Responsibilities:

Lead CAE Automation Engineer with extensive experience in CAE automation and automotive crash simulation. Proficient in developing and implementing automation solutions using Python, Java, Visual Studio Code, and GitHub to streamline engineering workflows, improve process efficiency, and reduce manual effort. Strong expertise in performing and analyzing LS-DYNA crash simulations for automotive seating systems, including model setup, validation, optimization, correlation, and result interpretation.

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 Seating

Magna International Pune, Mahārāshtra, IND Office

Magna International Pune, Maharashtra, India Office

Pune, Maharashtra, India

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