ADAS BSW Bench Test Intern

Job descriptions may display in multiple languages   based on your language selection. 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: Job Responsibilities • Participate in embedded software verification and testing activities for ADAS ECUs. 参与ADAS ECU的嵌入式软件验证与测试活动。 • Perform BSW bench testing at ECU/System Integration level using Black-box and Grey-box testing approaches.

使用黑盒与灰盒测试方法，在ECU/系统集成层面执行BSW台架测试。 • Analyze software requirements and design corresponding test scenarios and test cases. 分析软件需求，并设计相应的测试场景与测试用例。 • Develop and execute tests for embedded ECU functions and interfaces.

针对嵌入式ECU功能与接口开发并执行测试。 • Perform testing using CANoe, CAPL and Python-based test environments. 使用CANoe、CAPL以及基于Python的测试环境执行测试。 • Perform ECU communication and diagnostic testing based on CAN/CAN FD, Ethernet and UDS.

基于CAN/CAN FD、以太网和UDS执行ECU通信与诊断测试。 • Analyze test results, ECU logs and communication data. 分析测试结果、ECU日志以及通信数据。 • Investigate test failures and support problem reproduction and root cause analysis.

调查测试失败问题，并支持问题复现与根因分析。 • Develop and maintain test scripts and test automation. 开发并维护测试脚本与测试自动化。 • Support regression testing and continuous improvement of the BSW test environment.

支持回归测试以及BSW测试环境的持续改进。 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。 • Basic understanding of software testing and common test design techniques.

对软件测试及常见测试设计技术有基本理解。 • 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。 • Basic knowledge of embedded systems and communication protocols. 具备嵌入式系统与通信协议的基本知识。 • 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： • CAN / CAN FD • Automotive communication testing • CANoe / CANalyzer • CAPL development • UDS (ISO 14229) • Ethernet / TCP / UDP • Wireshark • Python • Linux • MCU / SoC • ROS 2 • RTOS / Embedded Linux • GMSL / SerDes • Automotive ECU testing 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.