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
- Architect motion control platform components and interfaces
- Define data workflows for collection curation labeling and feature engineering
- Define fail operational and fail safe behaviors
- Define runtime monitoring confidence measures and safe fallback strategies
- Define technical roadmap for hybrid control architectures
- Design state space observers estimators and optimal robust control
- Develop and validate ML models in Python
- Develop model predictive control MPC algorithms
- Ensure compliance with ISO 26262 and ISO 21448
- Integrate AI ML components into real time control loops
- Lead AI enabled vehicle motion control technical direction
- Lead MIL SIL HIL and DiL simulation validation
- Lead system level safety concepts and monitoring logic
- Lead vehicle dynamics simulation using CarSim
- Mentor engineers conduct code and design reviews
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Auto-code | Auto-code generation | C plus plus | CANalyzer | Carsim | Code generation | Control Systems | DiL | Dynamics Modeling | Embedded C | Embedded Software | Embedded software development | Estimator | Functional Safety | HIL | Hardware-in-the-loop | INCA | MATLAB | Machine Learning | MiL | Model in the loop | Model-Predictive Control | Model-based reinforcement learning | NumPy | Observer | Optimal Control | Pandas | Predictive control | PyTorch | Python | Reinforcement Learning | Robust Control | SOTIF | Scikit-learn | SiL | Simulink | Software development | Software-in-the-loop | State Estimation | State-Space | TensorFlow | The Loop | Vehicle Spy | Vehicle dynamics | Vehicle dynamics modeling
Education
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