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Intern - Systems Engineering

Magna International -
Southfield, MI

Quick Apply

Job Details

Part-time

Qualifications

AI models
Some college
Software engineering
Microsoft Excel
Computer Science
CSS
Requirements specification
Engineering phase involvement
Requirements design
RESTful API
Web development
Writing skills
Engineering process optimization
Mathematics
AI platforms (beyond public GPTs)
Machine learning projects
JavaScript frameworks
Prompt engineering
High school diploma or GED
System design for system development
Machine learning cloud services
Collaboration with product development teams
Machine intelligence
Model deployment
Azure Machine Learning
Systems engineering
Physics
Software documentation
Engineering product development
System development

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 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:

We are looking for a motivated student to join our System Engineering team . This role offers an excellent opportunity to gain hands-on experience in automotive system engineering and AI tool development.

As a student intern, you will support system-level activities. You will build AI tools and agents to improve the systems engineering workflow.

Your responsibilities:

Assist in system engineering activities across the product development process

Support requirement analysis, system architecture, and documentation tasks

Collaborate with hardware, software, and validation teams

Participate in design reviews and engineering discussions

Contribute to continuous improvement of engineering processes and tools

Who We are looking for:

High School Diploma
Currently Attending a college or University

Your Preferred qualifications:

Studying for a bachelor's degree in computer science, AI/ML, Data Science, Engineering, Physics, Astronomy, or Mathematics
Familiarity with Azure cloud services (Azure AI Foundry, Azure OpenAI, Azure ML)
Web development experience (HTML, CSS, JavaScript, React, or similar frameworks)
Python programming skills
Prompt engineering experience with LLMs (GPT, Claude, etc.)
Understanding of AI development best practices and documentation
Knowledge of the ICOSE guidelines for writing requirements

Special Knowledge / Skills:

Proficient computer knowledge and skills, Microsoft Office (Word, Excel, PowerPoint)
Professional communication skills (written and verbal)
Bonus: Experience with APIs, REST services, or AI model deployment

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

Quick Apply

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intern systems engineer jobs

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