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