Lead Engineer, ADAS HiL Test

• Construct ADAS simulation scenarios (covering L2 and L2++ functionalities) using tools like Carmaker or others, including vehicle dynamics modeling, driver models, and complex traffic environments
• Develop and maintain HiL (Hardware-in-the-Loop) test platforms, integrating sensor simulations (e.g., camera/radar signal injection), vehicle dynamics models, and real-time system debugging
• Design test cases based on functional specifications and regulatory standards (e.g., x-NCAP, i-VISTA), execute SIL/HIL simulations, and deliver test reports while tracking issue resolution
• Develop automation scripts (Python/CAPL) to improve efficiency and integrate with CI/CD pipelines
• Identify algorithm or system defects in simulations, collaborate with R&D to reproduce and resolve issues
• Optimize scenario coverage and credibility, enhancing the generalization capability of test scenario libraries
• Cross-Functional Collaboration: Participate in ADAS system design reviews, define simulation testing protocols, and align simulation validation with real-vehicle testing
• Adapt testing tools to industry standards such as ASAM OpenX

Bachelor's degree or higher in Automotive Engineering, Computer Science, or related fields Erfahrung Strong analytical and problem-solving abilities, with clear documentation skills Team collaboration and communication skills, adaptability to business travel Valid driver's license, * Bachelor's degree or higher in Automotive Engineering, Computer Science, or related fields

• Proficiency in VTD, Carmaker or other Simulink tools, with vehicle dynamics modeling experience
• Programming Skill: Strong skills in Python/C++/MATLAB for scripting and tool development
• Automotive Knowledge: Deep understanding of ADAS principles, sensor fusion (camera/radar/LiDAR), and communication protocols (CAN/in-vehicle Ethernet)
• Standards: Familiarity with x-NCAP, and ADAS function regulations
• 3+ years in ADAS simulation or real-vehicle testing, preferably with full vehicle development cycles
• Proficiency in English and Mandarin language, German is a plus
• Strong analytical and problem-solving abilities, with clear documentation skills
• Team collaboration and communication skills, adaptability to business travel
• Valid driver's license
• Preferred Qualifications: Experience in applying deep learning to simulation testing (e.g., synthetic data generation); Cloud-based simulation or large-scale parallel testing expertise; Knowledge of AUTOSAR architecture