The role involves building infrastructure to ensure accurate passenger pick-up and drop-off locations. The engineer will collaborate with machine learning teams to integrate location selection models and improve service consistency. Responsibilities include designing scalable solutions for managing congestion and developing demand control mechanisms for operational areas. Additionally, the position requires building advanced tooling, dashboards, and monitoring systems to identify and resolve customer issues. The engineer will work on centralizing location logic to support the expansion of autonomous driving services.

Candidates must possess at least three years of experience in building and scaling high-performance infrastructure for critical services. Proficiency in C++ or another object-oriented programming language is required. The role necessitates a background in managing complex backend services and infrastructure. No specific degree or professional qualification is explicitly stated as a requirement.