• Design and implement advanced behavior planning and control for autonomous sidewalk robots in complex urban environments. • Architect mission/route ingestion at the robot level and integrate it with mapping, perception, prediction, planning, and control. • Build and own the behavior layer (state machine/behavior tree) for cruise, overtake, peek/yield, and stop/move-to-side behaviors. • Define lane selection and speed governance (right/center/road-side) with safety envelopes, comfort limits, and social etiquette. • Instrument the stack with structured telemetry (option costs, clearances, interventions) and define KPIs and dashboards for release gating. • Drive improvements to the robot’s ability to handle failure scenarios, correct inefficiencies, and compose low-level robotic skills into high-level, goal-directed behaviors. • Lead testing and validation efforts in both simulation and real-world deployments, ensuring planning systems are reliable, safe, and performant. • Maintain clear and comprehensive documentation of algorithms, codebases, interfaces, and system designs to support cross-team collaboration and long-term maintainability.