Student- Engineering ADAS Vehicle Integration

Job descriptions may display in multiple languages based on your language selection.

What we offer:

Group Summary:

Position Overview

Magna’s 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 cross‑functional 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 ROS‑based tools (training will be provided as needed) to assist with sensor feasibility studies and integration workflows.

Qualifications:

• Valid driver’s 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.

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.