14 days ago
Responsibilities
- Architect 3D object detection models using multimodal camera, LiDAR, and radar inputs.
- Build and maintain data collection and evaluation metrics pipelines.
- Develop proprietary multimodal datasets for training and evaluation.
- Train, deploy, and monitor 2D/3D object detection models in production.
- Build and execute the perception-system roadmap.
- Identify technical gaps and lead cross-functional projects.
- Mentor junior engineers on engineering best practices.
Requirements
- Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field.
- 7+ years of focused experience architecting and deploying 2D/3D object detection models.
- Experience across the full perception stack, including sensing, preprocessing, detection, and tracking.
- Proficiency in Python.
- Ability to identify gaps and lead cross-functional projects.
- Preferred: PhD in Computer Science, Robotics, or a related discipline.
- Preferred: full-stack autonomous vehicle knowledge.
- Preferred: experience architecting perception systems focused on detection and tracking.
- Preferred: publications in conferences such as CVPR, ICRA, NeurIPS, IJCAI, or AAAI.
Tech Stack
Categories
ML EngineeringRobotics
About AeroVect
AeroVect builds autonomous driving systems and software to automate airport ground service equipment, improving ramp logistics for airlines, airports, and ground handling providers. It deploys and supports autonomy for fleets used by major carriers and ground service companies. Founded in 2020 and headquartered in South San Francisco, it is a privately held Series A company.