As an ML / AI Software Engineer on the Metrics Frameworks team within the Simulation, Evaluation, and Data organization, you will serve as an individual contributor focused on developing infrastructure to accelerate autonomous vehicle development. You will build specialized analytics frameworks and tools that enable internal users to construct quantitative analysis pipelines, develop metrics for feature prioritization, and monitor road events or simulation data. Your daily work involves creating tooling to process signals from various sources, designing scalable automation scripts for test creation and performance monitoring, and developing well-tested shared libraries. The role requires proficiency in C++, Python, and Bash, along with experience in production environments involving unit testing and algorithm optimization. Preferred technical skills include SQL, BigQuery, DuckDB, ROS, Pandas, and data orchestration tools like Airflow or DBT to solve complex problems in the autonomous vehicle lifecycle.