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AeroVect is a Series A autonomous vehicle company transforming ground handling operations for airlines and ground service providers globally. The company is backed by top-tier venture capital investors in aviation and autonomous driving.
In this Staff-level role, you will architect and lead the perception system for autonomous ground handling vehicles. Your responsibilities include:
- Architect 3D object detection models using multi-modal sensor fusion (camera, LiDAR, Radar)
- Build and maintain data collection and evaluation pipelines with robust metrics
- Develop a proprietary multi-modal dataset for training and evaluation
- Train, deploy, and monitor 2D/3D object detection models in production environments
- Build and execute the roadmap for the perception system
- Mentor junior engineers on best practices and technical excellence
This is a technical leadership role where you will drive the perception strategy and mentor the team while remaining hands-on with architecture and implementation.
REQUIREMENTS:
- Master's or PhD in Computer Science, Robotics, Deep Learning, or related field
- 7+ years of focused experience architecting and deploying 2D/3D object detection models
- Demonstrated experience across the entire perception stack (sensing, preprocessing, detection, tracking)
- Python proficiency
- Ability to identify technical gaps and lead cross-functional projects
PREFERRED:
- PhD in Computer Science, Robotics, or related discipline
- Full-stack autonomous vehicle knowledge
- Experience architecting perception systems (detection and tracking)
- Publications in major conferences (CVPR, ICRA, NeurIPS, IJCAI, AAAI, etc.)
