Teams at AeroVect

Design and build production-grade mission, behavior, and motion planning systems for autonomous ground support vehicles in airport environments. Responsibilities include selecting planning algorithms, defining software architecture, optimizing trajectories, handling uncertainty, collaborating with perception and controls teams, promoting functional safety practices, and mentoring engineers. The role requires strong C++ or Python skills, Linux experience, autonomous systems planning expertise, and the ability to independently solve complex technical problems.

Own and productionize localization, mapping, calibration, and state-estimation systems for autonomous ground vehicles operating at active airports. Responsibilities include sensor fusion, 3D mapping, calibration, online validation, diagnostics, regression testing, deployment, and safety monitoring. The role provides technical leadership across perception, planning, and platform teams while advancing autonomous operations toward driverless capability.

Designs and implements behavior planning algorithms for autonomous vehicles operating in structured, low-speed airport environments. Responsibilities include developing C++ and Python software, modeling multi-agent interactions, implementing decision-making and path-planning methods, testing in simulation and real-world scenarios, optimizing system performance, and collaborating with autonomy and engineering teams. The role requires expertise in behavior planning, probabilistic models, real-time navigation, debugging, profiling, and scalable software architecture.