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 .
You will
Architect 3D object detection models, including multi-modal approaches (camera, LiDAR, Radar).
Build and maintain data collection and evaluation (metrics) pipeline.
Develop a proprietary multi-modal dataset for training and evaluation.
Train, deploy and monitor 2D/3D object detection models to production.
Build and execute a roadmap for the perception system
Mentor junior engineers about best practices.
You have
Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field.
7+ 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 identify gaps and lead cross functional projects
We Prefer
PhD in Computer Science, Robotics, or a related discipline
Full stack AV knowledge
Experience in architecting perception systems (detection & tracking)
Publications in major conferences like CVPR, ICRA, NeurIPS, IJCAI, AAAI etc
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