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 with safety constraints
- Apply vehicle communication and measurement tools for testing
- Architect scalable motion control platform components
- Build vehicle dynamics simulation and models
- Define data workflows for collection curation labeling and feature engineering
- Define fail operational and fail safe behaviors
- Define hybrid control architecture roadmap
- Define runtime monitoring confidence measures and safe fallback strategies
- Develop and validate ML models with Python
- Develop state space control observers estimators and MPC
- Ensure ISO 26262 safety compliance and SOTIF ISO 21448
- Implement embedded control software in C or C plus plus
- Integrate MATLAB Simulink and auto code generation
- Integrate learned models into real time control loops
- Lead AI ML enabled vehicle motion control
- Lead MIL SIL HIL and DiL development and validation
- Lead system level safety concepts monitoring logic and behaviors
- Perform code and design reviews for control and AI ML
Perks/Benefits
- N/A
Skills/Tech-stack
AI machine learning | Auto-code | Auto-code generation | C plus plus | C# | CANalyzer | Carsim | Code generation | Control Systems | Data Curation | DiL | Dynamics Simulation | Embedded Software | Estimators | Feature Engineering | HIL | INCA | ISO 21448 | ISO 26262 | Kalman Filter | MATLAB | MPC | Machine Learning | MiL | Model-Predictive Control | Model-based reinforcement learning | NumPy | Observers | Optimal Control | Pandas | Predictive control | PyTorch | Python | Reinforcement Learning | Robust Control | SOTIF ISO 21448 | Scikit-learn | SiL | Simulink | Space Control | State Estimation | State space control | State-Space | System Identification | TensorFlow | Vehicle Communication | Vehicle Spy | Vehicle dynamics | Vehicle dynamics simulation
Education
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