Teams at AeroVect

Perform system and hardware safety analyses for autonomous vehicle platforms, including HARA, FMEA, FTA, STPA, FMEDA, diagnostic coverage, and PMHF calculations. Derive and trace functional, technical, and hardware safety requirements for redundant and fail-operational architectures. Evaluate compute hardware, sensors, actuators, and power systems for faults, collaborate with multidisciplinary engineering and test teams, and support safety-case development for airport deployments.

Architect and deploy multimodal 2D/3D object detection systems using camera, LiDAR, and radar. Build data collection, evaluation, and proprietary dataset pipelines; train, monitor, and improve production perception models; develop the perception roadmap; and mentor junior engineers. The role requires end-to-end perception stack experience, cross-functional leadership, Python proficiency, and advanced education in computer science, robotics, or deep learning.

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.