ADAS Software Architect

Job description

C, C++, QNX, Classic and Adaptive Autosar C++, m-script, json, Model-Based Systems Engineering using Simulink and Stateflow ADAS, Ethernet SOME/IP

• Strong proficiency in Python, C++, and scripting for automation and tooling
• Experience with JSON schema design, validation, and transformation
• Hands-on knowledge of DDS (RTI Connext, eProsima Fast DDS, Cyclone DDS) and IDL-based interface generation
• Familiarity with AUTOSAR Adaptive, SOME/IP, and ROS 2 communication models
• Understanding of service-oriented architectures and signal routing
• Exposure to CI/CD tools (GitLab CI, Jenkins, AWS CodePipeline)
• Experience with containerized environments (Docker) and orchestration (Kubernetes) Strong expertise in issue analysis and debugging, software and network log analysis
• Strong debugging experience using Trace32, CANape, knowledge in fault decoding, startup code
• Experience with AUTOSAR compliant framework in model-based environment
• Knowledge of vehicle network communications (CAN, Automotive Ethernet).
• Expertise in Autonomous Driving (ADAS) features in L1, L2, L2+ and L3 </div

Qualifications

BACHELOR OF ENGINEERING