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The role involves architecting 3D object detection models, managing data pipelines, developing datasets for training, and mentoring junior engineers.

Design and build production-grade mission, behavior, and motion planning systems for autonomous ground vehicles in airport airside environments. Drive architecture and algorithm selection, prototype optimization- and learning-based planners, collaborate with perception/localization/controls teams, promote safety and engineering best practices, and mentor engineers.

Lead systems and safety engineering for autonomous airside vehicles: design and V&V system architecture, build safety cases, define safety goals and requirements, create traceable requirements and KPIs, develop data pipelines for V&V, identify risks and mitigations, and establish engineering standards. Collaborate cross-functionally and support deployment; travel up to 25%.

Lead and own processes for safe, validated deployment and release of autonomous ground vehicles. Manage bringup, software release gates, change management, configuration control, cross-functional alignment, and regulatory/customer documentation to ensure safe, zero-downtime fleet updates and compliant operations.

Own and productionize core localization systems (state estimation, mapping, calibration). Build monitoring, diagnostics, validation, and deployment tooling. Integrate sensors, tune performance, run regression testing, and iterate using data from real autonomous airport operations to enable driverless capability.