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AeroVect Technologies Inc. is hiring a perception engineer to advance autonomous ground handling systems. You will train, deploy, and monitor multi-sensor object detection models using camera, LiDAR, and radar, and you will build data pipelines for labeling and evaluating performance.
You have 3+ years in perception, strong Python/C++/ROS2 skills, and the ability to work autonomously. Preference for those with CUDA kernel experience and robotics background.
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.
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
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