Durability Analytics Engineer
Tasks
- Analyze fleet data for vehicle usage
- Apply machine learning to reduce CAE test cases and runs
- Automate component cycle development
- Build classification models for usage archetypes
- Correlate data and physics based models to predict loads and vibrations
- Develop accelerated duty cycle development
- Develop machine learning models for vehicle loads and events
- Develop regression models for component load variance and fatigue damage
- Estimate fatigue damage and vibration spectra from sensor data
- Standardize vibration spectra across vehicle locations
Perks/Benefits
- 401k plan
- Dental insurance
- Employee stock purchase program
- Health insurance
- Life insurance
- Long-term disability insurance
- Paid sick leave
- Paid vacation
- Short-term Disability Insurance
- Vision insurance
Skills/Tech-stack
CAN bus | Classification | Data Modeling | Fatigue analysis | MATLAB | Machine Learning | Miner S Rule | NumPy | Pandas | PySpark | Python | Rainflow Counting | Regression | SQL | Series data | Statistical Analysis | Time Series | Time Series Data | Vibration analysis | Weibull analysis
Education
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