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 www.aerovect.com.
Job Description
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 important 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
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Software Engineer, ML Ops in Toronto employer: AeroVect
AeroVect is an exceptional employer that fosters innovation and creativity in the rapidly evolving field of autonomy. With a strong commitment to employee growth, we offer comprehensive benefits and a collaborative work culture that encourages team members to push boundaries and develop their skills. Located in a dynamic industry hub, our team enjoys unique opportunities to shape the future of ground handling while working alongside passionate professionals dedicated to making a meaningful impact.
