About the role
Who We Are
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 will
- Train, 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
You have
- 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
We Prefer
- PhD in Computer Science, Robotics, or a related discipline
- Previous experience working with autonomous robots
- Experience developing CUDA kernels