4 hours ago
Responsibilities
- Architect multimodal 2D/3D object-detection models using camera, LiDAR, and radar inputs.
- Build and maintain data-collection, evaluation, and metrics pipelines.
- Develop proprietary multimodal datasets for model training and evaluation.
- Train, deploy, and monitor 2D/3D object-detection models in production.
- Define 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.
- At least 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, 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.