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Waste Robotics

Verified Job Source

Precision-driven sorting solutions shaping a greener future, one robot at a time.

Trois-Rivières, Quebec

Climate Technology Product Manufacturing
11–50 people

About

Waste Robotics integrates advanced waste handling processes, computer vision, deep learning algorithms and state-of-the-art robotic technologies to enable smaller, more precise, safer and more profitable waste recycling facilities.

Open positions

Technicien en installations robotiquess

Hybrid · Trois-Rivières

The technician will assemble, connect, and test robotic equipment at the factory and perform installations, commissioning, and troubleshooting at international client sites. They are also responsible for training clients on system usage and contributing to product improvement through technical documentation.

Installateur(trice) de systèmes robotisés/électromécanicien(ne)

Hybrid · Trois-Rivières

The role involves assembling, testing, and installing robotic systems at the Trois-Rivières facility and at international client sites. You will be responsible for diagnosing technical issues, implementing corrective solutions, and training clients on system operations.

Developpeur(euse) Vision Senior

Hybrid · Québec

You will train, evaluate, and deploy high-speed computer vision models for robotic picking while managing MLOps pipelines for real-time inference. Additionally, you will ensure system generalization across multiple industrial sites and oversee the specification of imaging hardware.

Développeur(euse) logiciel senior

Hybrid · Québec

You will be responsible for the architecture, performance, and robustness of C#/.NET applications for vision-guided robotic systems. This includes developing hardware integrations, optimizing real-time latency, and providing technical leadership to the software team.

Developpeur-euse AI senior

Hybrid · Montréal

You will be responsible for training, evaluating, and deploying real-time object detection and segmentation models for robotic sorting systems. Additionally, you will manage MLOps pipelines, optimize model performance for industrial environments, and ensure robust deployment across multiple sites.

Spécialiste d'analyse de données IA-Vision par ordinateur

Hybrid · Montréal

You will manage the full lifecycle of training data, from defining classification schemas to monitoring model performance. Additionally, you will coordinate with external annotation partners and collaborate with the AI research team to optimize data pipelines.