
AeroVect provides autonomous driving platforms that automate baggage and cargo handling on airport aprons to improve safety and throughput. The company combines embodied AI with lidar, radar, cameras and precise positioning systems to interpret airfield markings and navigate active airside environments. AeroVect builds datasets from airports worldwide and trains models that run on integrated hardware and software stacks with operational safety controls. Its product is positioned as a B2B airport logistics automation solution for airlines, ground handlers and airports, designed for deployment in live airport operations.

AeroVect provides autonomous driving platforms that automate baggage and cargo handling on airport aprons to improve safety and throughput. The company combines embodied AI with lidar, radar, cameras and precise positioning systems to interpret airfield markings and navigate active airside environments. AeroVect builds datasets from airports worldwide and trains models that run on integrated hardware and software stacks with operational safety controls. Its product is positioned as a B2B airport logistics automation solution for airlines, ground handlers and airports, designed for deployment in live airport operations.
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field.
5+ years of focused experience in architecting and deploying 2D/3D object detection models.
Worked on entire perception stack (sensing, preprocessing, detection & tracking)
Python proficiency
The ability to lead projects autonomously