Staff AI/ML Vehicle Motion Control Engineer – Vehicle System Controls
Milford Proving Ground - Bldg 31 - GPS Emissions, United States
USD 189K-290K (estimate) Senior-level Full Time
Tasks
- Apply reinforcement learning under safety constraints
- Collaborate across vehicle dynamics ADAS perception software safety teams
- Define data workflows for collection curation labeling feature engineering
- Define fail operational fail safe behaviors for AI ML components
- Define technical roadmap for hybrid control architectures
- Design state space control observers estimators
- Develop Python models using ML stacks
- Develop optimal robust control and model predictive control
- Ensure ISO 21448 SOTIF compliance
- Ensure ISO 26262 functional safety compliance
- Implement runtime monitoring confidence measures safe fallback
- Integrate AI ML components into real time control loops
- Integrate embedded C C plus plus control software
- Lead MIL SIL HIL DiL simulation validation
- Lead architecture of AI enabled motion control platforms
- Lead use of vehicle dynamics tools for modeling and simulation
- Use MATLAB Simulink for control development and auto code generation
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | Auto-code | Auto-code generation | C plus plus | CANalyzer | Carsim | Code generation | Control Theory | DiL | Dynamics Modeling | Embedded C | Embedded C plus plus | Estimators | Functional Safety | HIL | INCA | MATLAB | Machine Learning | MiL | Model-Based Control | Model-Predictive Control | NumPy | Observers | Optimal Control | Pandas | Predictive control | PyTorch | Python | Reinforcement Learning | Robust Control | Runtime Monitoring | SOTIF | Safety engineering | Scikit-learn | SiL | Simulink | Space Control | State Estimation | State space control | State-Space | TensorFlow | Vehicle Spy | Vehicle dynamics | Vehicle dynamics modeling
Education
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