06 Sep
|
AeroVect
|
Toronto
Who We Are
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. For more information, visit
We are looking for a skilled Software Engineer with a focus on ML Ops to focus on the intersection of computer vision and autonomous systems safety. You’ll be tasked with both the creative side of AI (building 2D/3D models) and the rigorous side of engineering (creating redundant systems and performance diagnostics). It is key that you will have a perception background in the robotics domain.
You will
- Participate in developing 2D/3D deep learning models
- Develop a secondary perception system for redundancy
- Generate metrics and diagnostics about individual modules in the stack
You have
- Bachelor’s or Master’s degree in Computer Science, Robotics, Deep Learning, or a related field.
- Understanding of sensing, preprocessing, detection, tracking modules.
- Python, C/C++ and ROS2 proficiency
- Quick learning skills and high bias for action
We Prefer
- Masters in Computer Science, Robotics, or a related discipline.
- 2+ years of focused perception stack experience
📌 Software Engineer, ML Ops (Toronto)
🏢 AeroVect
📍 Toronto