Intern - Engineering ADAS Perception Features

Location: Auburn Hills, Michigan, US

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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 supports the ADAS Environmental Modelling teams by integrating, developing, testing, and debugging low-speed ADAS algorithms such as parking, trailering, surround view, and camera calibration, as well as high-speed sensor fusion algorithms.

Essential Duties and Responsibilities

Develop building blocks for ADAS features and algorithms

Design and implement conventional image processing algorithms

Design, develop/tune, and optimize deep learning models for ADAS computer vision features

Demonstrate knowledge of late (object-level) and early (raw-data) sensor fusion

Create or modify test cases based on requirements to cover new or modified functionality

Debug and root-cause issues

Report and document issues; propose corrections

Perform system testing on bench and in vehicles to ensure the product functions and performs per customer requirements

Qualifications

Holds bachelor’s degree in engineering

Valid Driver’s license

Education / Experience

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

Special Knowledge / Skills

Mandatory

Experience in Digital Image Processing or Machine Learning or vehicle dynamics OR control systems OR digital signal processing through coursework or industry experience

Coursework or project with vehicle simulation/testing

Experience with C/C++, Python

MS Office Tools knowledge

Basic knowledge of ADAS features

Working knowledge in structured engineering approach

troubleshooting and debugging skills

Preferred

Experience in ADAS/AD academic/industry projects

Execution of test suites in a model/software in the loop environment (MIL/SIL)

Working knowledge in development of portable, reusable and modular software in automotive environment.

Physical Demands / Work Environment

Normal amount of sitting or standing, average mobility to move around an office environment, able to conduct normal amount of work at a computer.

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