Design, configuration, and application of dSPACE HIL simulators for ADAS System Development of test automation projects Modeling of physical systems for HIL simulation Expertise in Test Design, techniques, Test strategies, Plan and methods. Expertise in multiple domain technologies such as ADAS Establish standards for test automation, CI/CD integration, and vehicle/HIL /virtual testing. Specialized support of HIL systems and models, including at customer locations Qualifications: Bachelor´s or master’s degree in Electrical, Mechanical, Computer Science/Software Engineering, or related experience Experience in one or more of the following areas is desired: Development, testing, or familiarity of embedded control systems (mechatronics, automotive control systems) HIL simulation systems In-vehicle communication networks such as CAN, LIN, FlexRay, DOIP Model-based development with MATLAB® and Simulink® Programming in C, C++, Python, or other comparable languages Perform hands-on testing when necessary, setting an example for the team. Implement and maintain quality assurance processes. Identify areas for improvement in testing processes and methodologies. Stay current with emerging trends and technologies in ADAS testing Propose and implement innovative testing solutions Will be responsible as a Right Side of the V Model, Expanding ADAS practice by building Assets, Accelerators, PoCs, etc.
Bachelor’s degree in computer science, Engineering, or related field 5+ years of experience in dSPACE and test framework development in Python, preferably in INTERNAL autom otive or ADAS systems Experience in Programming Language such as C++, C Expertise in ADAS System, test automation and verification techniques Strong knowledge of Functional Safety standards (e.g., ISO 26262) Familiarity with automotive standards and regulations Excellent organizational and administrative skills Strong leadership and team management abilities Proficiency in test management tools and software Experience in working with CAN, Ethernet and SOME/IP protocols. Experience with sensor technologies (e.g., radar, lidar, cameras) used in ADAS. Good working knowledge of C language, CAPL scripting & Python Scripting, Test Management Tools. Experience with CI/CD(e.g.,Github Actions/Docker/Jenkins). Experience with Vector Tools(e.g.,CANoe, CANanalyser), dSPACE , HIL
Mandatory Skills
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