Vehicle Motion Control AI/ML Platform Design Engineer
Markham Elevation Centre - Markham Elevation Centre, Canada
CAD 90K-136K Mid-level Full Time
Tasks
- Build AI ML enabled control strategies
- Collaborate with cross-functional teams
- Collect and curate training data
- Conduct HIL and SIL testing
- Create technical documentation and reports
- Design vehicle motion control algorithms
- Develop learned models for motion control
- Develop state estimation and observers
- Engineer features and analyze datasets
- Evaluate safety stability and interpretability
- Implement and validate control strategies
- Integrate algorithms in simulation environments
- Participate in design and peer reviews
- Perform model-based design and simulation
Perks/Benefits
- GM Vehicle Purchase Plan
- Healthcare dental and vision benefits
- Hybrid work schedule
- Life insurance
- Paid time off
- Retirement pension contributions
Skills/Tech-stack
Adaptive Control | C# | C++ | CANalyzer | Carmaker | Carsim | Code generation | Data labeling | Data-Driven Modeling | Data-driven | Embedded Systems | Extended Kalman | Extended Kalman Filter | Feature Engineering | INCA | ISO 26262 | Kalman Filter | MATLAB | Machine Learning | Model-Based Design | Model-Predictive Control | Model-based reinforcement learning | NumPy | Observer design | P&ID | Pandas | Parameter estimation | Particle Filter | Predictive control | PyTorch | Python | Reinforcement Learning | Runtime Monitoring | SOTIF | Safety engineering | Scikit-learn | Sensor fusion | Simulation | Simulink | Stability analysis | State Feedback | System Identification | TensorFlow | Unscented Kalman | Unscented Kalman Filter | Vehicle Spy | Vehicle dynamics
Education
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