Automotive System Architect

1 week ago

Bengaluru India Quest Global Full time

Job Description Job Requirements We are seeking a highly skilled and experienced System Architect (E&E) to lead the design and integration of advanced vehicle network systems with a focus on gateway architecture, various CAN (Controller Area Network) protocols, and Body Control areas. The ideal candidate will drive end-to-end software architecture decisions for Software-Defined Vehicle (SDV) architecture, ensuring scalable, secure, and future-proof solutions. Role/Position : System Architect E&E Experience : 12-15 Years Work Location : India (Need to travel around the globe as per the project requirement) Education : B.Tech, B.E, MCA, BCA, Diploma in Computer EngineeringElectronicsCommunication Engineering Key Responsibilities - Lead the architecture and design of SDV platforms, focusing on vehicle gateway and CAN network topologies (e.g., CAN-FD, CAN-HS, CAN-LIN) - Define and review system and software architecture for all related ECUs - Collaborate with cross-functional teams including hardware, software, cybersecurity, and cloud services to deliver integrated vehicle solutions - Evaluate and define software interfaces, data exchange formats, and communication strategies between ECUs and central computer platforms - Ensure compliance with automotive standards - Participate in platform development planning, toolchain selection, and development processes in a CI/CD environment - Perform architectural reviews and provide technical leadership to internal and supplier development teams. - Work closely with validation and verification teams to ensure robust testing and diagnostics of gateway and related ECU functions. Work Experience Primary Skills/Requirements - Bachelor's or Master's degree in Electrical Engineering, Computer Science, or related field. - Minimum 12+ years of experience in automotive embedded systems, with at least 3 years in an architecture role. - Deep understanding of CAN architecture, vehicle gateways, and different ECU based system design. - Knowledge of Ethernet-based communication (e.g., SOME/IP, DoIP). - Proven experience with CAN protocol stacks, diagnostics (UDS), and communication matrix (DBC). - Strong background in embedded C/C++, RTOS, and vehicle network configuration tools (e.g., Vector CANoe, CANalyzer). - Familiarity with automotive safety and cybersecurity considerations. - Experience with SDV platforms, service-oriented architectures (SOA), and centralized vehicle compute is highly desirable. Preferred (Secondary) Skills - Experience with cloud-connected vehicle platforms and over-the-air (OTA) updates. - AUTOSAR (Classic and Adaptive) architecture design and implementation experience. - Working knowledge of AI/ML integration in ADAS systems.

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