Internship
Perception Intern
Posted on 4/11/2024
Autonomous driving systems for airport ground support
Robotics & Automation
Toronto, ON, Canada
Required Skills
Python
Tensorflow
Pytorch
Linux/Unix
Requirements
- Bachelor’s Degree in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or a related field
- Prior background (academic or industrial) in development of perception modules for autonomous systems, including strong theoretical expertise
- Working knowledge of Deep Learning based 3D object detection models using LiDAR
- Knowledge of the modern camera-based object detection models, LiDAR-based object detection models, segmentation models
- Knowledge of Deep Learning based frameworks such PyTorch, TensorFlow
- Strong C++ (preferred) or Python programming and algorithmic problem-solving skills
- Working experience in a Linux based Operating System
- Experience using the Robot Operating System (ROS) framework
- Strong reasoning skills and mathematics background including linear algebra, geometry, calculus, optimization, and probability
- Collaborative nature and effective communicator
Responsibilities
- Define, implement, and own hands-on improvements to upgrade the perception module, targeting milestones, and working with internal/external partners
- Qualify all subsystems using objective measures, with an eye to functional safety and systems engineering best practices
- Collaborate with vehicle engineering to create an integrated system, including sensor/compute selection and integration
- Understand and keep up-to-date with state of the art
AeroVect specializes in deploying autonomous driving systems for ground support equipment (GSE), serving leading airlines and ground handlers. The company's technologies are centered around autonomous driving systems for GSE, focusing on innovative solutions for the aviation industry.
Company Stage
Seed
Total Funding
$9.1M
Headquarters
San Francisco, California
Founded
2020
Growth & Insights
Headcount