Staff AI/ML Vehicle Motion Control Engineer – Vehicle System Controls
Milford Proving Ground - Bldg 31 - GPS Emissions, United States
USD 217K Senior-level Full Time
Tasks
- Apply reinforcement learning under safety constraints
- Define runtime monitoring confidence measures and safe fallback strategies
- Define technical roadmap for hybrid model based and data driven control architectures
- Design state space control observers and estimators
- Develop Python ML models and integrate with embedded control software
- Develop data workflows for collection curation labeling and feature engineering
- Develop optimal robust control and model predictive control
- Ensure ISO 26262 and ISO 21448 compliance for safety relevant functions
- Implement fail operational fail safe behaviors for AI ML components
- Integrate AI ML models into real time control loops
- Lead MIL SIL HIL and DiL validation environments
- Lead architecture and integration of AI enabled vehicle motion control platforms
- Lead vehicle dynamics modeling and simulation for controller validation
- Perform code and design reviews and mentor engineers
- Use MATLAB Simulink and auto code generation for production controllers
Perks/Benefits
Skills/Tech-stack
Auto-code | Auto-code generation | CANalyzer | Carsim | Code generation | Control Systems | Data labeling | DiL | Dynamics Simulation | Embedded C | Embedded C++ | Feature Engineering | HIL | INCA | ISO 21448 | ISO 26262 | MATLAB | MIL SIL | MLOps | Model-Predictive Control | NumPy | Observer | Optimal Control | Pandas | Predictive control | PyTorch | Python | Reinforcement Learning | Robust Control | SOTIF | Scikit-learn | Simulink | State Estimation | TensorFlow | Vehicle Spy | Vehicle dynamics | Vehicle dynamics simulation
Education
Roles
AI | AI/ML Engineer | Controls Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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