Teams at AeroVect

Perform system and hardware safety analyses for autonomous vehicle platforms, including HARA, FMEA, FTA, STPA, FMEDA, diagnostic coverage, PMHF, and failure-rate modeling. Derive and trace safety requirements for supervised and driverless autonomy, evaluate sensors, actuators, compute hardware, and power systems, and support safety cases for airport deployment. Collaborate with systems, software, robotics, hardware, and test teams to integrate and verify safety requirements.

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.

Design and build production-grade mission, behavior, and motion planning systems for autonomous ground-support vehicles in airport environments. Responsibilities include selecting planning algorithms, architecting software interfaces, optimizing trajectories, addressing uncertainty and real-time constraints, collaborating with perception and controls teams, applying safety practices, and mentoring engineers. The role requires strong C++ or Python skills, Linux experience, and hands-on autonomous systems planning experience.