Required Skills
- Plant Model Development using MATLAB/Simulink and Stateflow for ADAS/Autonomous Driving system simulation, validation, and closed-loop testing
- Development and maintenance of vehicle, sensor, and environment plant models to support MIL, SIL, HIL, and VIL verification activities
- ADAS/AD software and simulation model development using Python, MATLAB/Simulink, and Stateflow
- Experience with HIL systems, SIL, MIL, VIL, and real-time simulation environments
- Experience in Continuous Integration (CI/CD) and automated verification frameworks
- Hands-on experience with the dSPACE toolchain, including:
- ModelDesk
- ConfigurationDesk
- AutomationDesk
- ASM (Automotive Simulation Models)
- Knowledge of ADAS sensor modeling and simulation, including Cameras, Radar, LiDAR, and Ultrasonic Sensors
- Experience with scenario-based testing and virtual validation environments such as CarMaker, PreScan, CARLA, MATLAB Driving Scenario Designer, and dSPACE ASM
- Automation of software testing, regression testing, and validation workflows
- Experience with CAN, CAN FD, Automotive Ethernet, FlexRay, and automotive communication protocols
- Understanding and validation of ADAS features including:
- Adaptive Cruise Control (ACC)
- Autonomous Emergency Braking (AEB)
- Lane Keeping Assist (LKA)
- Traffic Sign Recognition (TSR)