4 hours ago
Responsibilities
- Architect multimodal 3D object detection models using camera, LiDAR, and Radar.
- Build and maintain data collection and evaluation metrics pipelines.
- Develop proprietary multimodal datasets for model training and evaluation.
- Train, deploy, and monitor 2D/3D object detection models in production.
- Build and execute the perception-system roadmap.
- Mentor junior engineers and lead cross-functional projects.
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 with the full perception stack, including sensing, preprocessing, detection, and tracking.
- Python proficiency.
- Ability to identify gaps and lead cross-functional projects.
- Preferred qualifications include a PhD, full-stack autonomous-vehicle knowledge, perception-system architecture experience, and publications at 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.