Senior Embedded AI Engineer
Core
Deploy and validate edge AI models and runtime on automotive ECUs for Korean OEMs, bridging model development with on-vehicle integration.
Role type
Senior Embedded AI Engineer (Customer Success)
Builds
Production-ready AI model bundles, virtual-sensor models, and edge AI runtime deployments for vehicle control units.
Domain
Automotive software / Edge AI / Embedded Linux
Deliverable
production ML models
Required skills
Python, C++ (C++14/17), Linux debugging, CAN/CAN-FD protocols, ONNX Runtime, MLOps toolchains, time-series modeling, ARM (aarch64) optimization
Preferred skills
Automotive protocols (DBC/ARXML, SOME/IP), quantization, ASPICE v4 MLE artifacts, AI coding assistants
Technologies
Fastlane Edge, Sonatus ADK, ONNX, PyTorch, scikit-learn, XGBoost, Apache Arrow, DuckDB, GitHub Copilot
Responsibilities
Bring up Fastlane Edge runtime on customer hardware; validate and package AI model bundles; tune virtual-sensor models on customer data; execute on-vehicle validation drives; provide technical support and training to customer engineers.
Seniority
Senior, hands-on IC
