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Embedded Engineer Jobs in Quebec (NOW HIRING)

Norbert Health

Computer Vision/ML Engineer

Montreal, QC · On-site

Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton ... Establish engineering best practices and help reduce technical debt as we scale * Contribute to the ...

Targeted Talent

Senior Deep Learning Engineer

Quebec, QC · On-site +1

$130K - $180K/yr

Experience in embedded or low-level programming * Knowledge of CUDA/OpenGL * Experience deploying neural networks in production * Familiarity with model compression techniques like quantization ...

Targeted Talent

Senior Deep Learning Engineer

Montreal, QC · On-site +1

$130K - $180K/yr

Experience in embedded or low-level programming * Knowledge of CUDA/OpenGL * Experience deploying neural networks in production * Familiarity with model compression techniques like quantization ...

Targeted Talent

Senior Deep Learning Engineer

Montreal, QC · On-site +1

$130K - $180K/yr

Experience in embedded or low-level programming * Knowledge of CUDA/OpenGL * Experience deploying neural networks in production * Familiarity with model compression techniques like quantization ...

Targeted Talent

Senior Deep Learning Engineer

Quebec, QC · On-site +1

$130K - $180K/yr

Experience in embedded or low-level programming * Knowledge of CUDA/OpenGL * Experience deploying neural networks in production * Familiarity with model compression techniques like quantization ...

Acuity Brands

Test Engineer Senior

Brossard, QC

Hands-on experience in embedded systems testing and software test automation. Practical Know-How: Highly skilled in the assembly and wiring of test setups and equipment. Team Player: A natural ...

Acuity Brands, Inc.

Test Engineer Senior

Brossard, QC · On-site

Hands-on experience in embedded systems testing and software test automation. Practical Know-How: Highly skilled in the assembly and wiring of test setups and equipment. Team Player: A natural ...

Norbert Health

Senior Backend Engineer

Montreal, QC · On-site

Our backend connects robots, embedded devices, Android applications, EMR systems, and a user portal ... You'll work directly with the VP of Engineering and collaborate with a small team of highly ...

Norbert Health

Senior Backend Engineer

Montreal, QC · On-site

Our backend connects robots, embedded devices, Android applications, EMR systems, and a user portal ... You'll work directly with the VP of Engineering and collaborate with a small team of highly ...

Go RH

Systems engineer

Montreal, QC

Job Summary We are looking for a Controls Systems Engineer to design and maintain the control logic ... At least 5 years of relevant experience in control systems or embedded applications * Basic ...

FTEX

Senior Firmware Engineer

Montreal, QC · On-site

Provide systems level support and embedded Subject Matter Expertise across all areas of the product (electrical, hardware, software,, etc) * Acting as a leader in a team of embedded systems engineers ...

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Embedded Engineer information

What are the key skills and qualifications needed to thrive as an embedded engineer?

To thrive as an Embedded Engineer, you need a solid background in computer science or electrical engineering, with strong skills in C/C++, microcontroller programming, and embedded systems design. Familiarity with real-time operating systems (RTOS), hardware debugging tools, and version control systems like Git is typically required, and certifications such as Certified Embedded Systems Engineer (CESE) can be beneficial. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills in this field. These competencies are crucial for developing reliable, efficient embedded solutions that integrate seamlessly with hardware and meet user requirements.

What are some common challenges faced by embedded engineers when working on cross-functional teams?

Embedded Engineers often collaborate closely with hardware designers, software developers, and test engineers, which can present challenges related to communication and integration. Aligning the firmware with hardware specifications, managing resource constraints, and ensuring timely debugging across different platforms are frequent hurdles. To succeed, Embedded Engineers need strong communication skills and a collaborative mindset to bridge gaps between disciplines and deliver cohesive, reliable systems.

What is the difference between Embedded Engineer vs Firmware Engineer?

AspectEmbedded EngineerFirmware Engineer
Required CredentialsBachelor's in Electrical, Computer Engineering, or related fields; certifications like ARM or IoT certifications are commonBachelor's in Computer Engineering, Electrical Engineering, or related; often similar certifications in embedded systems or firmware development
Work EnvironmentDesigning and developing hardware-software integrated systems, often in industrial, automotive, or consumer electronicsWriting, testing, and debugging low-level code that runs directly on hardware devices like microcontrollers or embedded processors
Employer & Industry UsageElectronics manufacturers, automotive, aerospace, IoT companiesConsumer electronics, IoT devices, medical devices, automotive systems

Embedded Engineers and Firmware Engineers often work closely, but Embedded Engineers focus on both hardware and software integration, while Firmware Engineers specialize in low-level code development that runs directly on hardware. Both roles require similar skills and certifications, but their primary focus and work environment differ slightly.

Are embedded engineers in demand?

Embedded engineers are in high demand due to the growth of IoT devices, automotive systems, and consumer electronics. Skills in C/C++, real-time operating systems, and hardware integration are particularly valuable in this field, which offers strong job stability and opportunities across various industries.

What does an embedded engineer do?

An embedded engineer designs, develops, and tests software and hardware for embedded systems, which are specialized computing devices within larger machines or products. They work with microcontrollers, real-time operating systems, and programming languages like C or C++, often collaborating with hardware teams to ensure system functionality and reliability.

What are the most commonly searched types of Embedded Engineer jobs in Quebec?

The most popular types of Embedded Engineer jobs in Quebec are:

What are popular job titles related to Embedded Engineer jobs in Quebec?

For Embedded Engineer jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Embedded Engineer jobs in Quebec look for?

The top searched job categories for Embedded Engineer jobs in Quebec are:

What are popular job titles related to Embedded Engineer jobs in QC?

For Embedded Engineer jobs in QC, the most frequently searched job titles are:

Embedded Engineer jobs near you
Infographic showing various Embedded Engineer job openings in Quebec as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Computer Vision/ML Engineer

Montreal, QC • On-site

Norbert Health
Fitness and Sports Centers • 11 - 50 employees
Learn more about Norbert Healthexternal

Full-time

Re-posted 20 days ago

Key responsibilities

  • Design, fine-tune, and deploy computer vision models for real-time inference on the edge.

  • Build and maintain MLOps pipelines for model training, validation, and performance monitoring.

  • Develop video processing pipelines that integrate classical signal processing and ML-based vital sign extraction.

Job description

The company

Norbert is building autonomous robots that deliver healthcare.

Our AI sensing platform mounts on mobile robots and does the work of a care team memberrounding 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 and Paris. We ship things that matter.

The position

We are looking for our lead deep learning engineer to spearhead the development of our groundbreaking sensing technology. 

What you will do:
  • Design, fine-tune, and deploy computer vision models (YOLO, InsightFace, MediaPipe, facial landmark detection, object tracking, pose estimation) for real-time inference on the edge
  • Optimize models for embedded deployment using quantization, pruning, TensorRT, and NVIDIA Triton
  • Build and maintain MLOps pipelines for model training, validation, and performance monitoring
  • Develop video processing pipelines that integrate with both classical signal processing and ML based vital sign extraction
  • Establish engineering best practices and help reduce technical debt as we scale
  • Contribute to the architecture and implementation of the computer vision stack from research to production
What we look for:
  • Master's or PhD degree in Machine learning / Computer vision
  • Strong fundamentals: data structures, CV algorithms, and systems programming
  • Strong C++ skills - this is critical for our edge deployment pipeline
  • Solid Python proficiency for ML experimentation and tooling
  • Ability to work independently, solve complex problems, and drive projects to completion
  • 5+ years experience deploying computer vision models to production, ideally on resource-constrained devices
  • Experience with PyTorch and model optimization for edge AI
  • Proven ability to take models from research to production on embedded hardware

Nice to haves:

  • Experience with NVIDIA Jetson platform, TensorRT, or Triton Inference Server
  • MLOps experience (experiment tracking, model versioning, performance monitoring)
  • Experience with sensor fusion (RGB, IR, depth cameras)
  • Background in medical devices, regulated environments, or healthcare applications
  • Experience working in fast-moving early-stage environments
What we offer:
  • Real impact: your code provides care for patients today
  • High autonomy and technical ownership - you'll shape our computer vision architecture
  • Work at the intersection of cutting-edge AI, edge computing, and healthcare
  • A talented, excellent, diverse and international team
  • Cutting-edge stack: embedded AI, robotics, LLMs, multimodal sensing
  • Talented, international team tackling meaningful problems in remote patient monitoring
  • Competitive salary
  • Transparent, mission-driven culture focused on continuous learning