The role involves developing test strategies and methodologies to support the scaling of autonomous vehicle technology. The individual will design and implement metrics, test plans, and simulated scenarios to evaluate vehicle performance in off-nominal situations. Responsibilities include writing high-quality software to analyze simulation results and advocating for automation at scale. The position requires leading cross-functional efforts to facilitate multi-platform testing across various partner teams. Additionally, the role entails reviewing system requirements and feature validation plans to ensure high performance and safety standards.

Candidates must possess an advanced degree in Engineering, Computer Science, Robotics, or a related technical field, or equivalent practical experience. Required experience includes software development for robotics or software verification and validation for safety-critical systems. Applicants need a strong grasp of Machine Learning fundamentals and applied statistical concepts, alongside proficiency in Python and SQL. The role requires solid communication skills and the ability to contribute to cross-disciplinary projects.