Student- Engineering ADAS Vehicle Integration

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Position Overview

Magnas ADAS technologies are shaping an autonomous future and improving lives.

The ADAS Intern/Co-op (onsite) primarily supports ADAS vehicle integration by coordinating prototype vehicle activities (build readiness installations scheduling support and issue tracking) across cross-functional teams. The role also supports deployment and use of ROS-based tools as needed. A strong drive to learn clear communication and teamwork are essential.

Essential Duties and Responsibilities:

• Coordinate ADAS prototype vehicle activities across crossfunctional teams (build readiness scheduling support parts/tools readiness stakeholder communication and issue tracking/closure).
• Support prototype vehicle-build activities with the Engineering Services team including RRS PC installation and related vehicle integration tasks.
• Support End-of-Line (EOL) and USS sensor calibration activities as scheduled and document calibration outcomes and follow-up actions.
• Create utilities/tools to support the team (e.g. build/test checklists data/log organization basic geometry/FOV calculations or converting a manual workflow into a repeatable script).
• Support engineers in vehicle testing activities as a second person (as required) following safety procedures and test plans and capturing results issues and logs.
• Support deployment and use of ROSbased tools (training will be provided as needed) to assist with sensor feasibility studies and integration workflows.

Qualifications:

• Valid drivers license
• Comfortable working hands-on in a garage/vehicle environment (installations instrumentation calibration support) and able to follow all safety procedures and PPE requirements.

Education / Experience

Enrolled in an engineering degree program (Electrical Automotive Mechanical Robotics/Mechatronics or Computer Science or equivalent)

Special Knowledge / Skills:

Mandatory:

• Basic Python programming skills (scripts for automation data handling and repeatable workflows). Experience with C is a plus.
• Coursework projects or work experience related to ADAS/autonomous systems sensor integration or automotive software development.
• Basic familiarity with a Linux/Ubuntu development environment and version control (Git) is preferred; willingness to learn is required.
• Strong communication skills and ability to work effectively in a cross-functional team setting (tracking actions following up and clearly documenting status).
• Demonstrates drive to learn and take ownership.
• Familiarity with ADAS/autonomous driving concepts and common sensors (LiDAR camera radar ultrasonic).
• Comfortable learning and using new tools and processes to support vehicle integration and coordination (training and mentoring provided as needed).
• Troubleshooting and debugging skills (software and basic hardware integration issues).
• Good documentation and reporting habits (test logs build notes calibration records).

• Problem-solving and critical-thinking mindset
• Must follow safety procedures for vehicle testing shop/garage environments and bench testing environments.
• Attention to detail

Preferred:

• Experience with vehicle testing and data collection using tools such as Vector CANoe/CANalyzer dSPACE ETAS or similar toolchains.
• Experience with vehicle instrumentation and prototype sensor/ECU integration (mounting harnessing power/network bring-up) and/or supporting sensor calibration activities.
• Exposure to ROS/ROS2 tools (e.g. running existing nodes basic package structure RViz/rosbag) and ability to deploy/use ROS-based workflows.
• Working knowledge of creating maintainable reusable scripts/tools (clear inputs/outputs basic testing readable documentation) in a team environment.

Physical Demands / Work Environment:

Combination of office and garage/vehicle environments. Includes sitting/standing; working at a computer; frequent walking around vehicles; bending/kneeling; and occasional lifting/moving of equipment (e.g. test hardware tools sensors) consistent with safe work practices. Work may occur outdoors or in varying temperatures during vehicle build testing and calibration activities.

At Magna we believe that a diverse workforce is critical to our success. Thats 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.

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.

If you have any questions or concerns about this process feel free to contact our Talent Attraction team.