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About the role
Role Overview: We are seeking a skilled Embedded Software Engineer with strong expertise in model-based development and automotive systems, particularly within Advanced Driver Assistance Systems (ADAS). The ideal candidate will have hands-on experience in MATLAB/Simulink, embedded code generation, and software testing, along with a solid foundation in C/C++ programming and control algorithms. Key Responsibilities: Develop and maintain model-based designs using MATLAB 2023b and later versionsImplement embedded software solutions using real-time code generation techniquesPerform static code analysis using tools such as Polyspace, Astree, etc. to ensure compliance and qualityDesign, develop, and optimize software in C and C++ for embedded systemsExecute and manage software testing processes, including SWE.5 and SWE.6 test activitiesUtilize Test Partitioning Tool (TPT) for time-partitioned testing and validationContribute to the development of ADAS features such as: Lane Keeping Assist (LKA) Lane Heading Control Assist Emergency Assist Systems Trajectory Planning and Control Corridor Estimation Apply mathematical models and algorithms for path planning and vehicle controlDesign and implement state machine algorithms and interface modelingCollaborate with cross-functional teams to ensure system integration and performance Required Skills & Qualifications: Strong proficiency in MATLAB/Simulink (2023b or newer)Experience with model-based development (MBD) methodologiesHands-on experience with embedded code generation (real-time systems)Knowledge of static code analysis tools such as PolyspaceProficiency in C and C++ programmingExperience in automotive software testing (SWE.5, SWE.6)Familiarity with TPT (Time Partition Testing) tools and methodologiesSolid understanding of ADAS systems and functionalitiesStrong mathematical foundation for control systems and path planningExperience with state machine design and interface modeling .
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