Working Student (m/f/x) - Application Functions

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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 Electronics, and we do it by creating world-class Electronic systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex Electronic 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 Electronics.

Job Responsibilities:

About the Role:

As a Working Student, you will support the Application Functions team across various areas. Your responsibilities include developing scripts in Python or similar languages to automate and simplify recurring tasks, assisting with test execution at bench level, and analyzing video material from previously recorded test drives.

The tasks are project-oriented and will vary depending on your background. You will have the autonomy to take ownership and successfully complete these projects independently. We expect you have a solid understanding of ADAS concepts, ideally gained through personal interest and academic lectures, and you are motivated to work on system testing at bench level.

Your Responsibilities:

• Automate test cases using CAPL, Python, or similar tools

• Automate recurring tasks in data handling for reports and overviews

• Develop automated report generation in Python

• Support the setup and configuration of test benches

• Execute manual and automated test cases and upload results into the database

• Provide general support to the team in daily tasks

Who we are looking for:

• Student of Electrical Engineering, Automotive Technology, or a related field

• Knowledge of automotive electrical architecture (e.g., CAN, CAN FD, Automotive Ethernet)

• Programming skills (Python preferred)

• Ideally, experience with CANoe, CANalyzer, CANape, and CAPL

• Working knowledge of Automotive Ethernet, CAN, and LIN tools such as CANalyzer, CANoe, CANape, neoVI, and other automotive network-related tools

• Advanced proficiency in the MS Office suite

• Strong command of English (spoken and written)

• Local language skills desirable

• German driver’s license required

Site Benefits:

• We offer you exciting and varied tasks as well as full integration into our team

• Through your own task packages and projects, you can work independently and prepare yourself for your future working life

• You will also gain valuable insights into the practical work of one of the world's largest suppliers to the automotive industry

• You will benefit from our own canteen as well as from a coffee and tea flat

• Of course, you will be comprehensively supported by fixed contact persons during your entire employment, and you can flexibly arrange your working hours

Are you interested? We look forward to receiving your application including a current certificate of enrollment.

If necessary, please also send us your valid residence permit/work permit including supplementary sheet.

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:

Student / Co-Op

Group:

Magna Electronics