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.
You willTrain, deploy and monitor 2D/3D object detection models (Camera, LiDAR, Radar)
Build and maintain data collection, labeling and evaluation (metrics) pipeline
Maintain proprietary multi-modal dataset for training and evaluation
Architect a deterministic secondary perception system
Mentor junior engineers about best practices
Bachelor’s or Master’s degree in Computer Science, Robotics, Deep Learning, or a related field
3+ years of focused experience in perception (sensing, preprocessing, detection, tracking)
Python, C++ and ROS2 proficiency
The ability to work autonomously
PhD in Computer Science, Robotics, or a related discipline
Previous experience working with autonomous robots
Experience developing CUDA kernels
Skills Required
- Bachelor's or Master's degree in Computer Science, Robotics, Deep Learning, or a related field
- 3+ years of focused experience in perception, including sensing, preprocessing, detection, or tracking
- Proficiency in Python
- Proficiency in C++
- Proficiency in ROS2
- Ability to work autonomously
- PhD in Computer Science, Robotics, or a related discipline
- Previous experience working with autonomous robots
- Experience developing CUDA kernels
What We Do
AeroVect deploys autonomous driving systems for GSE, trusted by the world's most innovative airlines and ground handlers
