
Aerospace • Transport • Artificial Intelligence
AeroVect is a technology company that specializes in advanced automation for Ground Support Equipment (GSE) in the aviation industry. The company's flagship product, AeroVect Driver, is a highly scalable, OEM agnostic self-driving system designed to improve safety, productivity, and sustainability in ground handling operations. Trusted by leading airlines and handlers, AeroVect aims to revolutionize airside operations with its premier self-driving technology, built in Silicon Valley for the global aviation market.
11 - 50 employees
🚀 Aerospace
🚗 Transport
🤖 Artificial Intelligence
💰 Seed Round on 2022-07
November 8

Aerospace • Transport • Artificial Intelligence
AeroVect is a technology company that specializes in advanced automation for Ground Support Equipment (GSE) in the aviation industry. The company's flagship product, AeroVect Driver, is a highly scalable, OEM agnostic self-driving system designed to improve safety, productivity, and sustainability in ground handling operations. Trusted by leading airlines and handlers, AeroVect aims to revolutionize airside operations with its premier self-driving technology, built in Silicon Valley for the global aviation market.
11 - 50 employees
🚀 Aerospace
🚗 Transport
🤖 Artificial Intelligence
💰 Seed Round on 2022-07
• 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. • Experiment SOTA models’ performance. • Mentor junior engineers about best practices.
• Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field. • 5+ 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 lead projects autonomously
• None specified
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