Design, develop, and operate governed feature engineering pipelines and a shared feature platform for machine learning and advanced analytics. Build scalable transformations using Python, SQL, Spark, and Databricks; establish feature reuse, versioning, train-serve parity, data quality controls, CI/CD, monitoring, and documentation. Collaborate with data scientists, ML engineers, data engineers, and platform teams to deliver reliable production features and resolve pipeline issues.

Develop autonomy evaluation metrics, statistical and machine-learning analyses, dashboards, and pipelines for simulation and on-road autonomous vehicle testing. Analyze perception, prediction, and planning performance; identify anomalous behavior and critical scenarios; apply VLMs and LLMs where appropriate; and support release gating and safety decisions. The role requires production Python, C++ debugging, technical leadership, cross-functional collaboration, and rigorous software engineering practices.