- Sunnyvale, United States
Develop machine learning and data infrastructure to improve vehicle models and support autonomous driving development.
Responsibilities
- Develop machine learning and hybrid physics-data approaches to improve vehicle and component model accuracy.
- Develop methods for model calibration, parameter estimation, adaptive modeling, and data-driven model improvement across different vehicle states and operating conditions.
- Build scalable workflows for comparing model predictions with test, simulation, and real-world vehicle data and identifying opportunities for model improvement.
- Build pipelines for ingesting, cleaning, synchronizing, transforming, storing, and accessing large-scale vehicle telemetry and time-series data.
- Develop cloud-based infrastructure for data processing, model training, simulation, evaluation, and validation.