Intern - ADAS Feature Owner

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What we offer:

Group Summary:

Position Overview

The Feature Owners Team within the Systems Organization is seeking a highly motivated Master's or PhD student to support the strategic development of next-generation Advanced Driver Assistance Systems (ADAS) and Automated Driving features. This position is intended for candidates who can make a long-term commitment and contribute to the evolution of future product concepts, feature definitions, and market-driven innovation initiatives.

The selected candidate will work closely with Feature Owners, technical experts, system engineers, and development teams to research emerging industry trends, analyze customer expectations, define feature concepts, and support requirements development for future ADAS platforms.

Purpose of the Role

Over the past several years, the team's primary focus has been on successfully bringing established ADAS features to production programs and ensuring their integration into platform projects. As the industry transitions toward increasingly advanced automation capabilities, the organization must expand its focus beyond feature implementation and invest in future-oriented feature innovation.

This role will help drive investigations into emerging market needs, evolving customer expectations, competitive product strategies, and next-generation ADAS functionalities. The candidate will contribute to the development of new concepts and requirements that support the company's roadmap toward advanced Level 2++, Level 3, and future automated driving solutions.

Key Responsibilities

• Research emerging ADAS, automated driving, and mobility technologies.

• Analyze market trends, competitor offerings, and OEM strategies to identify future feature opportunities.

• Investigate customer expectations and user experience needs for next-generation vehicle automation functions.

• Develop and document innovative feature concepts aligned with company product roadmaps.

• Collaborate with Feature Owners to translate concepts into system-level requirements.

• Support requirements definition activities and assist with feature decomposition.

• Work with cross-functional teams, including systems engineering, software development, architecture, validation, and subject matter experts.

• Contribute ideas that improve product competitiveness, customer value, and technological differentiation.

• Support strategic initiatives related to advanced automation programs, including evolving Level 2++, Level 3, and future automated driving capabilities.

Who we are looking for:

• Enrolled in a master’s or PhD degree program in engineering or related field.

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.