Autonomous ground vehicle software for airport ground handling
AeroVect builds autonomy for airport ground vehicles, and its stack reads like a self-driving program: ROS 2, C++, CUDA, LiDAR, GTSAM and CARLA simulation, paired with requirements tools like IBM DOORS, Jama Connect and Polarion plus FMEA, signaling safety-certification discipline. Hiring is overwhelmingly engineering and skewed to senior and staff levels, with director-level searches in hardware and autonomy, so this is a deep-tech build phase rather than a sales push.
Notable leadership hires: Chief of Staff, Hardware Director, Autonomy Director
AeroVect is a privately held company founded in 2020 and headquartered in South San Francisco, California, with 51–200 employees. It develops AI-driven automation for airport logistics, focused on autonomous ground vehicles that support ground handling for airlines and airports. Its work spans perception, behavior planning, drive-by-wire, sensor suite design and remote assistance for fleet operations. Infrastructure runs on AWS with Terraform, ECS and DynamoDB. The company hires across the United States, Canada and several European countries including France, Poland, the United Kingdom and Germany.
AeroVect uses ROS 2, C++, Python, CUDA, LiDAR, GTSAM, OpenCV, Open3D and CARLA for autonomy, AWS with Terraform for infrastructure, and IBM DOORS, Jama Connect and Polarion for requirements management.
Yes. Engineering dominates AeroVect's hiring, concentrated at senior and staff levels, with leadership searches for a Hardware Director and an Autonomy Director.
AeroVect hires in the United States, Canada, France, Poland, the United Kingdom, Italy, Sweden, the Netherlands and Germany.
Other companies in the same industry, closest in size
AeroVect's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.