Software Engineer II, Controls Data & Simulation
- Develop Vehicle Models: Help design and implement our next-generation differentiable vehicle dynamics simulator for controls V&V.
- Build Simulation Pipelines: Design and maintain the software pipelines required to generate "Sim-from-Log" scenarios. You will ensure that high-value on-road events are systematically converted into reproducible simulation tests.
- Implement Control Scenario Taxonomies & Curate Data: Build the data structures and algorithms to categorize complex control scenarios (e.g., maneuvers, environments) and use this framework to source balanced datasets from on-road logs, ensuring comprehensive ODD coverage for model training.
- BS or MS in Computer Science, Robotics, Data Science, or a related engineering field.
- 2+ years of software engineering experience with a focus on data-intensive applications or machine learning.
- Strong proficiency in Python (including libraries like Pandas, NumPy, Scikit-learn).
- Hands-on experience with PyTorch or similar machine learning frameworks.
- Experience working with large datasets, SQL, and data processing pipelines.
- Strong analytical skills with the ability to translate complex data into actionable engineering insights.
- Background or interest in Control Theory or Vehicle Dynamics (understanding of kinematics, kinetics, and actuation).
- Experience with machine learning or system identification for physics based-models.
- Familiarity with V&V methodologies, simulation frameworks, or log analysis tools.
- Experience building data visualization tools or dashboards to track software quality and coverage.
- Proficiency in C++ (necessary for integrating with on-vehicle or production codebases).
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