Lead design and implementation of ML tools for scenario classification, anomaly detection, sensor data quality, behavior analytics, and automated reporting. Build scalable pipelines and automated data curation for camera, radar, and LiDAR; create SIL/HIL replay interfaces, ground-truthing and annotation tools, and offline benchmarking. Integrate ML modules into simulation, HIL/SIL, and CI/CD ecosystems, implement reproducible workflows (Docker, CI/CD, artifact versioning, automated tests), monitor model/data quality and mentor junior engineers while collaborating with verification and perception teams.

Performs automotive electronic system validation, including environmental, electrical, EMC, temperature, vibration, humidity, enclosure, and functional testing. Creates validation test plans based on customer requirements, operates specialized test equipment, analyzes data, troubleshoots failures, generates reports, and coordinates with engineering teams, OEM customers, suppliers, and laboratories. Supports new product and process implementation while maintaining safety and quality requirements.

Develop and integrate virtual ECU components for L3 ADAS; model, simulate, and validate ECU behavior in SIL/MIL environments; integrate ADAS code with AUTOSAR, ROS2, DDS and real-time frameworks; create build pipelines (CMake/Bazel/Yocto); enable scenario-based virtual testing (CarMaker/PreScan/CARLA); debug integration issues and collaborate with cross-functional teams.