ADAS ASW Bench Test Intern

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What we offer:

Group Summary:

Job Responsibilities

• Participate in the development and testing of perception KPI tools 参与感知KPI工具的开发与测试

• Participate in the development and testing of function KPI tools 参与功能KPI工具的开发与测试

• Participate in the development and testing of parking function HIL simulation 参与泊车功能HIL仿真的开发与测试

• Participate in the development and testing of trailer function HIL simulation 参与拖车功能HIL仿真的开发与测试

• Participate in the setup of HIL test benches for high-level autonomous driving functions 参与高级别自动驾驶功能HIL测试台的搭建

• Participate in the development of autonomous driving simulation test scenarios 参与自动驾驶仿真测试场景的开发

• Analyze simulation test results and locate issues 分析仿真测试结果并定位问题

Basic Qualifications

• Bachelor's or Master s student in Computer Science, Software Engineering, Electronic Engineering, Automation, Automotive Engineering or related fields. 计算机科学、软件工程、电子工程、自动化、汽车工程或相关专业的本科或硕士在读学生。

• Good knowledge of C programming with hands-on coding/project experience. 具备良好的C语言编程知识，并有实际编码/项目经验。

• Interested in autonomous driving simulation development and testing 对自动驾驶仿真开发与测试感兴趣

• Experience with simulation tools such as Carla/esmini is preferred 具备Carla/esmini等仿真工具经验者优先

• Knowledge of OpenDRIVE/OpenSCENARIO is preferred 了解OpenDRIVE/OpenSCENARIO者优先 • Good testing mindset, analytical and problem-solving skills. 具备良好的测试思维、分析能力与问题解决能力。

• Interested in software testing and embedded software verification. 对软件测试与嵌入式软件验证感兴趣。

• Strong willingness to learn new technologies and work in an engineering environment. 有强烈的意愿学习新技术，并在工程环境中工作。

Preferred Qualifications Experience or knowledge in one or more of the following areas is preferred: 具备以下一个或多个领域的经验或知识者优先：

• Ethernet / TCP / UDP

• Wireshark

• Python

• Linux

• MCU / SoC

• ROS 2

• CycloneDDS/FastDDS

• RTOS / Embedded Linux

• GMSL / SerDes

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.