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AeroVect is a Series A autonomous systems 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 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 staff-level individual contributor role with significant technical scope and mentorship responsibilities. You will work across the full perception stack and drive architectural decisions that impact the company's autonomous vehicle capabilities.
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.)
