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Components Engineer Jobs in Quebec (NOW HIRING)

Norbert Health

Applied AI Engineer

Montreal, QC

Integrate foundation models and ML components (VLMs, LLMs, ASR/TTS, detection/segmentation ... Engineering, or a related field, or equivalent hands-on experience * 4+ years shipping ML/AI ...

Fed Manutech

Selecting and sizing electrical components and equipment; Reviewing and approving drawings ... Bachelor's degree in Electrical Engineering or Automated Production Engineering; Member in good ...

Norbert Health

Applied AI Engineer

Montreal, QC · On-site

Integrate foundation models and ML components (VLMs, LLMs, ASR/TTS, detection/segmentation ... Engineering, or a related field, or equivalent hands-on experience * 4+ years shipping ML/AI ...

Fed Manutech

Selecting and sizing electrical components and equipment; Reviewing and approving drawings ... Bachelor's degree in Electrical Engineering or Automated Production Engineering; Member in good ...

Fed Manutech

CA$105K - CA$120K/yr

... electrical components and sensors. -Provide technical support during equipment startup and ... You also have: -Bachelor's degree in Electrical Engineering. -Professional Engineer (P.Eng ...

Fuse

Laser Engineer - Montreal

Montreal, QC · On-site

Developing and testing laser components, including the laser cavity, mirrors, and amplifiers, to ... Collaborating with optical, electrical, and mechanical engineers, to integrate laser systems with ...

SOGECLAIR

Ingenieur(e) electrique

Brossard, QC

Programmer les robots industriels, lorsque requis, et assurer leur integration avec les autres ... Select appropriate electrical components and communicate with suppliers to ensure optimal equipment ...

Devoted Studios

Lead Engineer

Montreal, QC · Remote

Hands-On Engineering (~35%) Write, review, and own C++ code on the engagement - Lead Engineer is not a title that means you stop coding Build and maintain core gameplay, engine, or systems components ...

Zebra Technologies

DevOps Engineer I

Montreal, QC · On-site

... s Engineer I, you will work as an individual contributor, as a member of a software development ... and components using dedicated systems (GitHub and GitHub Actions). * Implements smaller ...

Fed Manutech

Electrical Engineer

Montreal, QC · Hybrid

... engineer. It's a stable, technical, multidisciplinary environment where the engineer has real ... Validating control components, designing electrical distributions and panels, running load and ...

Fed Manutech

Electrical Engineer

Montreal, QC · On-site

... engineer. It's a stable, technical, multidisciplinary environment where the engineer has real ... Validating control components, designing electrical distributions and panels, running load and ...

Alstom

TC&IS System Engineer

Saint-bruno, QC · Hybrid

The System Engineer for Signaling Systems is a pivotal role designed to ensure the development ... Stock & Components (RSC) division. This role entails defining subsystem architecture ...

Alstom

TC&IS System Engineer

Saint-bruno, QC · Hybrid

The System Engineer for Signaling Systems is a pivotal role designed to ensure the development ... Stock & Components (RSC) division. This role entails defining subsystem architecture ...

Chart Industries

Select the various mechanical components * Correct and adapt manufacturing drawings * Provide ... Record procedures, standards, calculations, and other engineering-related details * Develop tools ...

Alstom

TC&IS System Engineer

Saint-bruno, QC · Hybrid

The System Engineer for Signaling Systems is a pivotal role designed to ensure the development ... Stock & Components (RSC) division. This role entails defining subsystem architecture ...

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Showing results 41-60

All JobsComponents Engineer JobsComponents Engineer Jobs in Quebec

Components Engineer information

See Quebec salary details

$66.5K

$106K

$143.5K

How much do components engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for components engineer in Quebec is $106,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $123,000.00 per year, depending on experience, location, and employer.

What are some common challenges components engineers face when sourcing and qualifying new parts?

Components Engineers often encounter challenges such as long lead times, part obsolescence, and ensuring compliance with industry standards. They must carefully evaluate suppliers' reliability and the technical specifications of new components to prevent compatibility or quality issues down the line. Additionally, staying updated on evolving regulations and coordinating with design, procurement, and manufacturing teams are essential to avoid costly delays and ensure smooth integration of components.

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

To thrive as a Components Engineer, you need a strong understanding of electronic components, engineering principles, and materials science, typically supported by a degree in electrical or electronics engineering. Familiarity with component selection tools, CAD software, and industry standards like IPC or RoHS compliance is essential. Attention to detail, problem-solving abilities, and effective communication help you collaborate with design teams and suppliers. These skills ensure the reliability, compliance, and efficiency of products in fast-evolving technology markets.

What is a components engineer?

Components Engineers are professionals who specialize in selecting, evaluating, and managing the parts or components used in manufacturing products, especially in industries like electronics, automotive, and aerospace. They ensure that each component meets technical, safety, and regulatory standards, and work closely with design, procurement, and quality teams. Their responsibilities include researching new parts, maintaining component databases, and resolving issues related to part obsolescence or supply chain disruptions. By optimizing component selection, they help improve product performance, reliability, and cost-effectiveness.

What does a components engineer do?

A components engineer oversees the proper selection of components for an electrical or mechanical assembly, or in the design of a new piece of machinery. As a components engineer, your responsibilities include testing and installing these components to ensure they are of the highest quality before utilizing them in a project. Other duties include identifying the best suppliers for each component and maintaining a library of parts for each project or equipment. A components engineer can work in a variety of industries.

What is the difference between Components Engineer vs Electrical Engineer?

AspectComponents EngineerElectrical Engineer
Required CredentialsBachelor's in Electrical, Electronics, or related field; certifications like IPC or IPC-A-610Bachelor's in Electrical Engineering; Professional Engineer (PE) license often preferred
Work EnvironmentDesign, testing, and selection of electronic components; collaboration with manufacturingDesign, analyze, and develop electrical systems; testing and troubleshooting
Employer & Industry UsageElectronics manufacturing, aerospace, automotive, consumer electronicsPower systems, telecommunications, automation, electronics

Components Engineers focus on selecting, testing, and ensuring the quality of electronic components used in products, while Electrical Engineers design and develop electrical systems and circuits. Both roles require similar educational backgrounds and certifications, but their daily tasks and industry applications differ.

More about Components Engineer jobs
What job categories do people searching Components Engineer jobs in Quebec look for? The top searched job categories for Components Engineer jobs in Quebec are:
What are popular job titles related to Components Engineer jobs in QC? For Components Engineer jobs in QC, the most frequently searched job titles are:
Components Engineer jobs near you
Infographic showing various Components Engineer job openings in Quebec as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $106,026 per year, or $51 per hour.

Applied AI Engineer

Norbert Health

Montreal, QC

Full-time

Medical, Vision

Re-posted 11 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 runtime-TensorRT, 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 ownership-you'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
Employment Type: FULL_TIME

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