Software Engineer, ML Ops

AeroVect

Toronto, Ontario, Canada Remote permanent

Posted: April 22, 2026

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Quick Summary

Aerospace software engineer with expertise in computer vision and autonomous systems, focused on ensuring the safety of autonomous ground handling systems.

Required Skills

Python ROS2 Deep Learning Computer Vision 3D Models AutoCAD 2D Perception Systems AI Metrics

Job Description

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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