Role Overview
Architect and scale 3D object detection models and perception systems for autonomous ground handling solutions.
About Aerovect
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.
Key Responsibilities
- 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.
Requirements & Eligibility
- 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
Required Skills & Tech
PythonComputer VisionDeep LearningLiDAR