AeroVect Tech Stack
AI-powered autonomous vehicles for airport ground operations
AeroVect builds safety-critical autonomous driving systems for airport logistics—baggage tugs, cargo handlers, and ground support equipment. The tech stack is heavily robotics-native (ROS, ROS 2, LiDAR, GNSS, ORB-SLAM3, CUDA on Jetson hardware) paired with formal safety tooling (DOORS, Polarion, FMEA), reflecting the regulatory rigor required for autonomous airside operations. Hiring is engineering-dominant (91 of 126 roles) and senior-biased (64 senior+ roles), with active recruitment across Europe and North America—a pattern consistent with scaling hardware validation and safety certification in a competitive talent market.
Tech Stack 60 technologies
What AeroVect Is Building
◆Challenges
- Safety-critical autonomous driving
- Scaling autonomous ground support equipment
- Highly competitive talent market
- Maintaining fleet reliability
- Operational inefficiencies in ground handling
- Inefficient ground handling
- Platform migrations
- Performance degradation detection
- Scaling localization quality
- Managing safety risk for agse
▲Active Projects
- Safety case development for autonomous airside driving
- V&v of autonomous vehicle system architecture
- Data collection and analysis pipelines for v&v
- Developing autonomous driving systems for airport driving
- Develop localization health monitoring tooling
- Fleet operations
- Autonomous driving capabilities
- Prediction stack design
- Remote assistance infrastructure
- Drive-by-wire stack
Hiring Activity
Department
Seniority
Notable leadership hires: Hardware Director, Autonomy Director, Chief of Staff
