Intern - Engineering ADAS Features

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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:
Position Overview
Magna's ADAS technologies are shaping an autonomous future and improving lives.
The ADAS Intern/Co-op (onsite) supports the ADAS team by developing, integrating, testing, and debugging next-generation ADAS algorithms such as Highway Pilot, Urban Maneuvering, Automatic Emergency Braking, Automated Parking & Trailering Assist, Trained Parking, Valet Parking, and other similar features.
Essential Duties and Responsibilities:

• Develop building blocks for ADAS features using either model-based design or software-based robotics framework
• Integrate new or modified Simulink models or software modules (e.g., C++/ROS2 nodes) into the test environment.
• Create or modify test cases based on the requirements to cover the new or modified functionalities
• Debug issues found and root cause them
• Report and document issues; Propose correction to issue reported
• Perform systems testing of products on bench and support testing in vehicles making sure the product functions and performs as the customer expects per requirements.

Qualifications:

• Holds bachelor's degree in engineering
• Valid Driver's license

Education / Experience

• Enrolled in a master's or PhD degree program in Electrical Engineering / Automotive Engineering/ Mechanical Engineering/Computer Science or equivalent

Special Knowledge / Skills:
Mandatory:

• Experience with one or more of the following: model-based design (Matlab/Simulink), robotics middleware (ROS2), or C++ software development for ADAS/AD applications.
• Coursework or projects or work experience related to ADAS, autonomous systems, robotics, control systems, vehicle dynamics, or software development for intelligent systems.
• Familiarity with ADAS or autonomous driving concepts
• Ability to work with simulation or software test environments
• Troubleshooting/debugging skills
• Good documentation and reporting habits
• Problem-solving and critical-thinking mindset
• Must follow safety procedures for vehicle testing and bench testing environments
• Attention to detail

Preferred:

• Experience with CarMaker/CarSim/Carla/Equivalent software
• Experience in ADAS/AD academic/industry projects
• Experience executing test suites in MIL/SIL or software-centric simulation environments
• Working knowledge in development of portable, reusable and modular software in automotive 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