Customer Function Owner / System Function Owner

Mercedes-Benz Research and Development India is seeking a Systems Engineer for the Customer Function Owner / System Function Owner (CFO/SFO) role, with a strong technical background in Advanced Driver Assistance Systems (ADAS). The role involves end-to-end ownership of assigned functions, from vehicle and system requirements through development and functional validation.

Project Description: The project covers functions for collision warning and mitigation, lane recognition, traffic sign recognition, object recognition to support collision avoidance or mitigation, automated and driver-assisted parking, and system event recording.

Key Job Responsibilities:

· Take end-to-end system responsibility for assigned ADAS functions throughout research, development and validation.

· Analyze, define and manage vehicle-level and system requirements, and guide product design, development and validation activities.

· Collaborate with suppliers and development partners to ensure that delivered solutions meet functional requirements.

· Define and execute system- and vehicle-level tests to validate assigned functions against their requirements.

· Align with internal stakeholders on expected system functionality and coordinate delivery within agreed timelines.

· Ensure and track system compliance with applicable regulations and certification requirements.

· Analyze defects, identify root causes and propose corrective solutions.

· Optimize function state machines to achieve the required system behavior.

· Define fail-safe mechanisms for assigned functions.

· Serve as the subject matter expert and technical point of contact for assigned ADAS functions.

Mercedes-Benz Research and Development India is seeking a Systems Engineer for the Customer Function Owner / System Function Owner (CFO/SFO) role, with a strong technical background in Advanced Driver Assistance Systems (ADAS). The role involves end-to-end ownership of assigned functions, from vehicle and system requirements through development and functional validation.

Project Description: The project covers functions for collision warning and mitigation, lane recognition, traffic sign recognition, object recognition to support collision avoidance or mitigation, automated and driver-assisted parking, and system event recording.

Key Job Responsibilities:

· Take end-to-end system responsibility for assigned ADAS functions throughout research, development and validation.

· Analyze, define and manage vehicle-level and system requirements, and guide product design, development and validation activities.

· Collaborate with suppliers and development partners to ensure that delivered solutions meet functional requirements.

· Define and execute system- and vehicle-level tests to validate assigned functions against their requirements.

· Align with internal stakeholders on expected system functionality and coordinate delivery within agreed timelines.

· Ensure and track system compliance with applicable regulations and certification requirements.

· Analyze defects, identify root causes and propose corrective solutions.

· Optimize function state machines to achieve the required system behavior.

· Define fail-safe mechanisms for assigned functions.

· Serve as the subject matter expert and technical point of contact for assigned ADAS functions.

· Bachelor’s degree in Electronics and Communication Engineering, Electrical and Electronics Engineering, Computer Science or Information Technology.

· 5–8 years of experience in the automotive domain.

Key Skills Required:

· Experience in automotive systems engineering and development.

· Exposure to at least one of the following: driver assistance systems, parking assistance systems, or radar- and camera-based assistance systems.

· Understanding of the ADAS algorithm stack, including sensor perception, sensor fusion, planning and motion control.

· Knowledge of functional safety, NCAP rating requirements and applicable ADAS regulations.

· Experience with requirements management and system modelling tools such as DNG and Rhapsody, and analysis tools such as Maglev.

· Strong understanding of the Mercedes-Benz product development lifecycle.

· Strong debugging skills, knowledge of C++ and UML, and scripting knowledge in Perl, Python and CAPL.

· Experience in vehicle and hardware-in-the-loop (HiL) integration testing for functional validation.

· Knowledge of diagnostic protocols, including UDS and KWP.