Vehicle Motion Control AI/ML Platform Design Engineer
Core
Design and implement advanced control, state estimation, and AI/ML-enabled algorithms for vehicle motion systems including steering, braking, propulsion, and active aerodynamics.
Role type
Senior IC vehicle motion control AI/ML platform design engineer
Builds
Robust, modular, high-performance motion control solutions for real-world vehicle systems
Domain
Automotive engineering, vehicle dynamics, control theory, machine learning
Deliverable
production ML models
Required skills
Classical control methods (PID, state feedback, observers), Advanced control strategies (MPC, adaptive control), State estimation and observer design, Sensor fusion (Kalman filters, particle filters), Python for data analysis and model development, ML frameworks (PyTorch, TensorFlow, scikit-learn), Model-based design and simulation (CarSim, CarMaker, Simulink), Embedded software development (C/C++, MATLAB/Simulink)
Preferred skills
Reinforcement learning, Deep learning (CNNs, RNNs, transformers), Automotive safety concepts (ISO 26262, SOTIF), Requirements and interface definition tools (DOORS, Jama), Advanced test setups (dSPACE HiL, DiL)
Technologies
Python, PyTorch, TensorFlow, scikit-learn, NumPy, pandas, CarSim, CarMaker, Simulink, C/C++, MATLAB, dSPACE, CANalyzer, Vehicle SPY, INCA
Responsibilities
Design and implement vehicle motion control, estimation, and AI/ML-enabled algorithms across multiple domains; Apply model-based design, simulation, and data-driven workflows to develop and validate control strategies; Support integration and testing in simulation environments (CarSim, CarMaker, Simulink, HIL, SIL, DiL); Contribute to data collection, curation, labeling, feature engineering, and analysis; Implement and evaluate AI/ML components in motion control loops; Participate in design reviews and continuous improvement of development processes
Seniority
Senior, hands-on IC