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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

This role is not eligible for visa sponsorship. Candidates must have current and ongoing authorization to work in the United States.

The Intern - System Test is responsible for the validation and verification of ADAS (Advanced Driver Assistance Systems) components and systems. This role involves executing test plans, analyzing test data, and collaborating with cross-functional teams to ensure system performance and safety standards are met.

Your Responsibilities

As a System Test Intern, you will support the verification and validation of ADAS systems in both vehicle and bench test environments. You will work closely with experienced engineers, gaining hands‑on experience in testing, data analysis, and reporting.
 

• Assist in manual & automated testing of ADAS systems.
• Support operation of bench testing equipment, HIL platforms, and vehicle test setups.
• Collect, organize, and document test data with a focus on accuracy and traceability.
• Assist in analyzing test results and identifying issues, anomalies, and system behavior.
• Collaborate with cross‑functional teams to support troubleshooting while following safety and quality standards.

Who we are looking for

Education
Bachelor’s in engineering (Electrical, Computer, Mechatronics, or related)

Experience

• Academic projects, coursework, or internships related to automotive systems or embedded systems.
• Basic understanding of ADAS systems (theoretical knowledge acceptable).
• Familiarity with vehicle communication protocols such as CAN, Ethernet, or LIN
• Ability to analyze data, document results, and create clear technical reports.
• Strong communication skills and ability to work effectively in a team environment.
• Detail‑oriented with a strong focus on quality, accuracy, and learning mindset.

Your preferred qualifications

• Master’s degree in Electrical, Mechanical, Automotive Engineering, or related field.
• Coursework or project experience related to ADAS or autonomous driving technologies.
• Basic familiarity with ADAS sensors such as Cameras, Radar, or LiDAR (academic or project-based).
• Introductory knowledge of scripting or programming languages such as Python, MATLAB, or CAPL.
• Prior internship, co‑op, academic, or lab experience in automotive systems, or testing is a plus.
• Interest in working within an OEM or Tier‑1 automotive supplier environment.

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