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Magna Student - Engineering Low Speed ADAS Features in Auburn Hills, Michigan

Student - Engineering Low Speed ADAS Features

Job Number: 66192

Group: Magna Electronics

Division: Magna Electronics Auburn Hills

Job Type: Permanent/Regular

Location:

Auburn Hills, MICHIGAN, US, 48326

Work Style:

Job Number: 66192

Group: Magna Electronics

Division : Magna Electronics Auburn Hills

Job Type: Permanent/Regular

Location: AUBURN HILLS

Work Style:

About us

We see a future where everyone can live and move without limitations. That’s why we are developing technologies, systems and concepts that make vehicles safer and cleaner, while serving our communities, the planet and, above all, people.

Forward. For all.

Group Summary

Magna Electronics leads the way in active safety technologies, revolutionizing the automotive industry and improving lives. With a strong focus on adapting ADAS systems and electronic solutions to any vehicle, we address a wide range of mobility and safety needs. As we build a safer, more intelligent, and connected mobility experience, Magna is dedicated to creating a better future for people globally.

About the Role

Magna’s ADAS technologies are shaping an autonomous future and improving lives.

The ADAS intern/Co-op supports the Low Speed ADAS team by integrating, developing, testing and debugging the Low Speed ADAS algorithms such as Parking, Trailering, Surround Views, Camera Calibration, etc.

Your Responsibilities

  • Develop building blocks for ADAS features/algorithms

  • Integrate new or modified Python, C/C++, Simulink models into the MATLAB and/or CarMaker 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 in vehicles making sure the product functions and performs as the customer expects per requirements

Who we are looking for

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

  • Valid Driver License

Your preferred qualifications

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 Python, C/C++, Matlab - Simulink and Stateflow

  • MS Office Tools knowledge

  • Basic knowledge of ADAS features

  • Working knowledge in structured engineering approach

  • Troubleshooting and debugging skills

Preferred:

  • Experience with CarMaker/CarSim/Equivalent software

  • 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.

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.

Site Benefits

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 to comply with GDPR requirements and your local Data Privacy Law.

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