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Software Architect

Luxoft
Bengaluru, IND
Full-time
Mid · 3+ years experience
Discovered 1 months ago
• 5+ years in automotive: ASPICE knowledge and hands-on experience in C++ Linux/QNX/Android Automotive alongside classic microcontrollers • 3+ years experience with Adaptive software clusters, with strong understanding of: Adaptive Autosar-based software development and Architecture Autosar Adaptive Software Components and Communication • Experience in SOME/IP network binding, Automotive Ethernet, and DoIP • Strong experience working with PREEvision for SoA modelling • Strong knowledge of the PREEvision metamodel • Strong knowledge of Diagnostic Log and Trace (AUTOSAR / COVESA) context: DLT protocol internals: standard/extended header, ECU ID, App ID, Context ID, log levels COVESA/GENIVI dlt-daemon ecosystem: dlt-viewer, libdlt, control messages, offline trace, gateway mode for multi-node setups AUTOSAR specifics: Classic (Dlt) and Adaptive (ara::log)

Full Job Posting

Responsibilities

  • Define services for in-vehicle platform software based on the requirements. • Define Autosar Adaptive software components with communication between them. • Define Architecture and design diagrams for software components and their interactions. • Understand and optimize runtime and resource usage. • PREEvision tool customization for imports, exports and model updates using Java • Creation of automated consistency rules and table-based editors in PREEvision • Definition, modeling and generation of different ARXML files for AUTOSAR Adaptive

Skills

  • 5+ years in automotive: ASPICE knowledge and hands-on experience in C++ Linux/QNX/Android Automotive alongside classic microcontrollers • 3+ years experience with Adaptive software clusters, with strong understanding of: Adaptive Autosar-based software development and Architecture Autosar Adaptive Software Components and Communication • Experience in SOME/IP network binding, Automotive Ethernet, and DoIP • Strong experience working with PREEvision for SoA modelling • Strong knowledge of the PREEvision metamodel • Strong knowledge of Diagnostic Log and Trace (AUTOSAR / COVESA) context: DLT protocol internals: standard/extended header, ECU ID, App ID, Context ID, log levels COVESA/GENIVI dlt-daemon ecosystem: dlt-viewer, libdlt, control messages, offline trace, gateway mode for multi-node setups AUTOSAR specifics: Classic (Dlt) and Adaptive (ara::log)

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