Autonomous Spacecraft AI Engineer (Edge ML & Robotics)

Spaceium Inc; Ottawa; On-site; CAD 75,000 - 110,000; Full time

Job summary

Spaceium Inc. is seeking a Robotic AI Engineer to develop intelligent autonomy for spacecraft, enabling perception, reasoning, and onboard decision-making. You will work at the intersection of robotics, ML, and space systems, building AI that operates reliably in resource-constrained environments.

The role emphasizes designing AI/ML models, perception pipelines, and edge deployment, with collaboration across engineering teams and hands-on work in space-grade hardware.

Qualifications

• Bachelor's degree in Computer Science, Robotics, AI/ML, Mathematics, or related field.
• Strong programming skills in Python.
• Experience with ML frameworks (PyTorch, TensorFlow, or similar).
• Understanding of statistics and ML foundations.
• Experience with version control systems such as Git.

Responsibilities

• Design and develop AI/ML models for spacecraft autonomy, perception, anomaly detection, and predictive maintenance.
• Develop perception pipelines (computer vision, sensor fusion) for pose estimation and scene understanding.
• Build reinforcement learning, planning, and decision-making algorithms for autonomous on-orbit operations and robotic manipulation.
• Build data pipelines for training, evaluation, and deployment of models.
• Create simulation environments (physics/robotics simulators) for training and validating AI and robotic behaviors.
• Deploy and optimize models on edge / resource-constrained flight hardware.
• Integrate AI and robotics systems with flight software and ground segment tools.
• Collaborate with software, systems, GNC, and operations engineers on AI-driven features.
• Research and prototype novel approaches to space-specific robotics and AI challenges.

Skills

Python

PyTorch

TensorFlow

Git

Statistics

Education

Bachelor's degree in CS/Robotics/AI

Tools

ROS

Job description

Spaceium Inc. is seeking a Robotic AI Engineer to develop intelligent autonomy for spacecraft, enabling perception, reasoning, and onboard decision-making. You will work at the intersection of robotics, ML, and space systems, building AI that operates reliably in resource-constrained environments.

The role emphasizes designing AI/ML models, perception pipelines, and edge deployment, with collaboration across engineering teams and hands-on work in space-grade hardware.