Autonomous Vehicles and Platform Integration Questions

Assess the candidate's understanding of autonomous vehicle technology and how to integrate such fleets into a rideshare or mobility platform. Topics include the core technical stacks for perception localization mapping planning and control; hardware and sensor constraints and associated data pipelines; edge computing and connectivity considerations; release engineering including over the air updates; simulation based testing and hardware in the loop validation; safety engineering and verification processes; and real time telemetry and incident analysis. Interviewers should also probe operational integration such as fleet management dispatching and matching algorithms pricing and rider experience changes; maintenance and teleoperation strategies; model training and data collection workflows; partnerships with vehicle manufacturers and suppliers; insurance and regulatory considerations across markets; incremental rollout strategies and risk mitigation. Evaluate trade offs among latency cost safety and reliability when choosing architectures and the candidate's approach to timelines governance and cross functional coordination.