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Robotic Engineering Jobs in Quebec (NOW HIRING)

Norbert Health

Applied AI Engineer

Montreal, QC · On-site

... on robots in nursing facilities. We need someone who knows the model landscape cold, treats evaluation as a first-class engineering problem, and has strong opinions about when to prompt, RAG, fine ...

Vention

Mechanical Engineer

Montreal, QC · On-site

... engineering. * 8-10 years of relevant experience in industrial automation mechanical design (automated equipment, conveyors, actuators, structure, robotics, etc.). * Membership in the Ordre des ...

SOGECLAIR

Ingenieur(e) electrique

Brossard, QC

Programmer les robots industriels, lorsque requis, et assurer leur integration avec les autres composantes du systeme. * Effectuer le demarrage, les essais et la mise en service des systemes une fois ...

Fed Manutech

Assisting with basic programming of a robotic arm (training and documentation provided if needed ... Managing and updating program sheets. Overseeing and improving cutting tool management. Maintaining ...

Fed Manutech

Assisting with basic programming of a robotic arm (training and documentation provided if needed ... Managing and updating program sheets. Overseeing and improving cutting tool management. Maintaining ...

Kiongroup

AMR Systems Engineer

Montreal, QC

CA$73K - CA$92K/yr

The Autonomous Mobile Robot (AMR) Systems Engineer develops the design and implementation of systems that integrate AMR hardware and associated software. The role involves working closely with ...

Groupe Alco-Tmi inc.

Programmer, ajuster et optimiser les robots soudeurs; Préparer les pièces et assurer leur conformité pour le soudage robotisé; Lancer, surveiller et optimiser les cycles de production;

Groupe Alco-Tmi inc.

Programmer, ajuster et optimiser les robots soudeurs; * Préparer les pièces et assurer leur conformité pour le soudage robotisé; * Lancer, surveiller et optimiser les cycles de production;

Fed Manutech

Assisting with basic programming of a robotic arm (training and documentation provided if needed ... Managing and updating program sheets. Overseeing and improving cutting tool management. Maintaining ...

Groupe Alco-Tmi inc.

Programmer, ajuster et optimiser les robots soudeurs; * Préparer les pièces et assurer leur conformité pour le soudage robotisé; * Lancer, surveiller et optimiser les cycles de production;

Kiongroup

AMR Systems Engineer

Montreal, QC

CA$73K - CA$92K/yr

The Autonomous Mobile Robot (AMR) Systems Engineer develops the design and implementation of systems that integrate AMR hardware and associated software. The role involves working closely with ...

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All JobsRobotic Engineering JobsRobotic Engineering Jobs in Quebec

Robotic Engineering information

See Quebec salary details

$11

$35

$77

How much do robotic engineering jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for robotic engineering in Quebec is $35.36, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $40.14 per hour, depending on experience, location, and employer.

What is robotic engineering?

Robotic engineering is a branch of engineering that involves the design, construction, operation, and maintenance of robots. It combines principles from mechanical engineering, electrical engineering, computer science, and control systems to create machines that can perform tasks autonomously or with human guidance. Robotic engineers work on developing robots for various industries, including manufacturing, healthcare, space exploration, and more. The field is rapidly evolving as technology advances, offering exciting opportunities for innovation and problem-solving.

What is the difference between Robotic Engineering vs Mechanical Engineering?

AspectRobotic EngineeringMechanical Engineering
Required CredentialsBachelor's in Robotics, Mechanical, or Electrical Engineering; certifications in roboticsBachelor's in Mechanical Engineering; Professional Engineer (PE) license often preferred
Work EnvironmentDesign labs, manufacturing plants, research facilitiesManufacturing, design studios, research labs
Industry UsageRobotics companies, automation firms, tech startupsAutomotive, aerospace, manufacturing, energy
Common Search/ComparisonRobotic Engineering vs Mechanical Engineering

Robotic Engineering focuses on designing, developing, and maintaining robots and automation systems, often requiring specialized knowledge in robotics and programming. Mechanical Engineering covers a broader range of mechanical systems, including machinery, thermal systems, and structural components. While both fields share foundational engineering principles, Robotic Engineering emphasizes automation and control systems, making it more specialized for robotics applications.

What are the typical collaboration dynamics between robotic engineers and other teams during a project?

Robotic engineers frequently collaborate with multidisciplinary teams, including software developers, electrical engineers, and mechanical designers. During a project, they often participate in cross-functional meetings to ensure that hardware, software, and control systems are seamlessly integrated. Effective communication and problem-solving are essential, as robotic engineers may need to translate complex technical requirements between teams or troubleshoot issues that arise during development and testing. This collaborative environment fosters innovation and helps streamline the creation of advanced robotic solutions.

What are the key skills and qualifications needed to thrive as a Robotic Engineer, and why are they important?

To thrive as a Robotic Engineer, you need a solid background in mechanical engineering, electronics, computer science, and mathematics, often supported by a bachelor’s or master’s degree in robotics or a related field. Familiarity with programming languages (such as C++, Python, or ROS), CAD software, and robotics simulation tools is typically required, along with certifications in robotics or automation. Strong problem-solving skills, creativity, teamwork, and effective communication are essential soft skills that set top professionals apart. These competencies ensure the successful design, implementation, and maintenance of complex robotic systems in diverse industries.
What are popular job titles related to Robotic Engineering jobs in Quebec? For Robotic Engineering jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Robotic Engineering jobs in Quebec look for? The top searched job categories for Robotic Engineering jobs in Quebec are:
Robotic Engineering jobs near you
Applied AI Engineer

Applied AI Engineer

Norbert Health

Montreal, QC • On-site

Full-time

Medical, Vision

Posted 13 days ago

Job description

The company

Norbert is building autonomous robots that deliver healthcare.

Our AI sensing platform enables existing robotic platforms to become care team members: rounding on patients, capturing vitals without contact (FDA-cleared for pulse and respiratory rate, more in the pipeline), running assessments, documenting to the EMR, and escalating when something's wrong. Autonomously.

We're not building demos. We're deployed in real facilities today, monitoring hundreds of patients daily. We're solving one of healthcare's hardest problems: a global nursing shortage that will hit 40% by 2030.

We're a small, international team backed by top-tier VCs, with offices in Brooklyn, Paris, and Montreal. We ship things that matter.

The position

We're looking for an Applied AI Engineer to take our growing collection of foundation models and ML components from manually run, sometimes locally trained workflows to fully automated, production-grade MLOps pipelines: deployed reliably on robots in nursing facilities. We need someone who knows the model landscape cold, treats evaluation as a first-class engineering problem, and has strong opinions about when to prompt, RAG, fine-tune, swap, or buy.

You'll work across cloud and edge deployments, and some of the systems you'll touch are on a SaMD pathway, so you'll need to be comfortable shipping under regulatory constraints.

What you'll do
  • Integrate foundation models and ML components (VLMs, LLMs, ASR/TTS, detection/segmentation, embeddings) into our production pipelines, using both open-weight models and third-party APIs
  • Build RAG and agent-style orchestration for clinical reporting and conversational interfaces
  • Ship real-time streaming pipelines (voice agents) alongside batch and request-response workloads
  • Build evaluation harnesses that catch regressions across model swaps and measure performance against clinical-grade accuracy targets
  • Fine-tune and retrain models (LoRA, PEFT, supervised fine-tuning) using data collected from our deployed fleet
  • Deploy across our inference surfaces: third-party APIs, self-hosted, and on-robot edge
  • Build the data flywheel: pipelines that collect, label, version, and feed production data back into model improvement
  • Partner with the algorithms team (signal processing, computer vision) on integration with their lower-level pipelines
What we're looking for
  • BS in Computer Science, Engineering, or a related field, or equivalent hands-on experience
  • 4+ years shipping ML/AI systems in production outside of academic settings
  • Strong working knowledge of the modern foundation model landscape (open-weight LLMs and VLMs, common detection/segmentation backbones, embedding models)
  • Hands-on experience with PEFT/LoRA and supervised fine-tuning
  • Strong Python; comfortable with the deployment toolchain (ONNX, quantization, at least one inference runtimeTensorRT, vLLM, llama.cpp, etc.)
  • Experience with a cloud ML training/MLOps platform (GCP Vertex AI, AWS SageMaker, Azure ML, or equivalent)
  • Ability to work independently, solve complex problems, and drive projects to completion
Bonus points
  • Edge ML deployment (Jetson, ARM, mobile NPUs)
  • Real-time voice AI pipelines (STT, TTS, streaming LLM)
  • Production RAG systems beyond toy implementations
  • Medical devices, SaMD, or other regulated ML environments
  • MLOps tooling (Weights & Biases, MLflow, DVC, etc.)
  • Active learning or human-in-the-loop labeling workflows
  • C++ for integrating with our computer vision pipeline
What we offer
  • Real impact: your code provides care for patients today
  • High autonomy and technical ownershipyou'll define how we operate AI in production
  • Work at the intersection of cutting-edge AI, edge computing, and healthcare
  • A talented, excellent, diverse and international team
  • Equity participation in the company's future
  • Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing
  • Transparent, mission-driven culture focused on continuous learning
  • Competitive salary and equity