Extracted from the posting
Base
Not stated
Remote
On-site
Funding
Series A
Stack
Python, C++, ROS2, CUDA
TL;DR
Trains, deploys and monitors 2D/3D object detection models using camera, LiDAR and radar data. Builds and maintains data collection, labeling and evaluation pipelines and a proprietary multi-modal dataset, and architects a deterministic secondary perception system. Stack includes Python, C++ and ROS2, with CUDA kernels preferred.
The full posting
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