1

Embedded Ai Engineer Jobs in Quebec (NOW HIRING)

By combining diamond-based quantum sensors with AI-driven algorithms, we transform complex magnetic ... Develop embedded firmware for microcontrollers, including system control logic, inter-component ...

... and embedded copilots and with user-developed generative AI solutions. * Perform internal and external research to understand developer and user needs, along with industry trends, to improve our ...

... and embedded copilots and with user-developed generative AI solutions. * Perform internal and external research to understand developer and user needs, along with industry trends, to improve our ...

... embedded in our clients' environments. At Levio, we valueexpertise, curiosity, and continuous ... Hands-on experience with AI developer productivity tooling (e.g., GitHub Copilot, Amp, or similar)

... embedded applications * Basic knowledge of MATLAB, Simulink, and Stateflow * Ability to leverage AI ... support engineering work Preferred Skills * Experience with hardware-in-the-loop testing

This role operates across Azure, AWS, GCP, and onprem environments, embedded in the broader ... AI for Reliability * Use AI for causal detection/anomalies to cut MTTR. * Develop reliability ...

$98.73 - $141.04/hr

... embedded computing. We're looking for an Associate Talent Acquisition Partner to join our HR and ... You'll help hire exceptional talent across semiconductor engineering, AI hardware, software, and ...

... embedded softwareStrong leadership and mentoring skillsAbility to monitor and apply evolving ... AI agent role is to help speed up your hiring process by answering questions, confirming basic ...

New

Collaborate with UX, systems engineers, product owners, and embedded teams to translate machine and ... AI Notice Our recruitment tools use AI to assist in the initial screening of applications, but ...

... AI and agentic AI capabilities are embedded into our products to solve real customer problems. This is an opportunity to work at the forefront of AI-enabled software engineering, designing ...

... AI and agentic AI capabilities are embedded into our products to solve real customer problems. This is an opportunity to work at the forefront of AI-enabled software engineering, designing ...

Showing results 21-40

Embedded Ai Engineer information

What is an embedded AI engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

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

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an embedded AI engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.

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

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

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

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

Infographic showing various Embedded Ai Engineer job openings in Quebec as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution.

Electrical Engineer

SBQuantum

Sherbrooke, QC โ€ข On-site

Other

Re-posted 19 days ago


Job description

About Us

SBQuantum is a seed-stage startup at the forefront of magnetic sensing innovation. Our vision is to unlock the full potential of magnetic intelligence through our proprietary quantum diamond magnetometer technology.

By combining diamond-based quantum sensors with AI-driven algorithms, we transform complex magnetic field data into actionable, high-value insights. Our solutions enable accurate magnetic mapping and object detection in environments where traditional sensing technologies like GPS, radar, imagery, or sonar cannot perform.

From public safety and defence to space exploration, our multidisciplinary team of engineers, physicists, and data scientists is redefining how the world perceives magnetic signals, turning invisible complexity into clear, useful intelligence.

Why Join Us

We’re a small, fast-moving, and ambitious team building something truly transformative. At SBQuantum, you’ll have the opportunity to:

  • Shape cutting-edge quantum sensing technology from the ground up.
  • Collaborate with passionate experts across physics, data science, and engineering.
  • Contribute directly to solving real-world challenges in public safety and aerospace.
  • Work in a dynamic startup environment where your ideas and contributions have immediate impact.

Who We’re Looking For

We are looking for a proactive and driven team member with a strong startup mindset, capable of taking ownership of complex problems and navigating ambiguity. The ideal candidate is autonomous, rigorous, and solution-oriented, thrives in multidisciplinary teams, communicates effectively with internal and external partners, and demonstrates a strong commitment to learning and continuous improvement.

The Role

As an Electrical Engineer, you will play a key role in developing the next generation of SBQuantum’s quantum diamond magnetometer for space applications and other harsh environments. You’ll be part of the electronic design team, working closely with our physics, and algorithms team, contributing to systems ranging from microwave generation and laser control to optical detection, low-noise electronics, and low-power MCU/FPGA integration. You’ll work on a complex, high-performance system that requires careful optimization at every stage, where your work will directly impact the reliability and performance of the sensor.

What You’ll Do

  • Develop and optimize control electronics including microcontrollers, FPGA interfaces, PLLs, laser drivers, and communication buses for the next generation of our quantum diamond magnetometer.
  • Contribute to the architecture and development of both analog and digital electronics across the magnetometer system.
  • Design and review PCB layouts with a focus on minimizing magnetic signatures and achieving low-noise performance.
  • Develop embedded firmware for microcontrollers, including system control logic, inter-component communication, and embedded algorithms.
  • Support system integration across multiple platforms, including drones, satellite payloads, and multi-sensor configurations.
  • Identify technical risks early and develop practical mitigation strategies throughout the development cycle.
  • Collaborate closely with physics, algorithms, and engineering teams to align system design and performance goals.
  • Participate in R&D campaigns including prototyping, fabrication, testing, and validation.

What We’re Looking For 

  • Bachelor’s degree in electrical engineering.
  • 5+ years of experience in PCB design and electronic system development.
  • Strong understanding of analog and digital circuit design.
  • Experience designing low-noise electronics and signal conditioning circuits.
  • Experience in electro-optics, transimpedance circuits.
  • Experience with Altium Designer for PCB design and layout.
  • Experience with embedded systems programming in C.
  • Experience working with microcontrollers and communication protocols.
  • Ability to debug and validate complex electronic systems.
  • Comfortable working in a multidisciplinary R&D environment.

Nice-to-Haves

  • Experience with laser control electronics or microwave generation systems
  • Experience designing electronics for aerospace or harsh environments
  • Knowledge of magnetic noise reduction and low magnetic signature PCB design

What We Offer

  • Competitive salary and meaningful equity.
  • Opportunity to be an early team member shaping both the technology and the culture.
  • Flexible, collaborative work environment.
  • Direct impact: your work will shape breakthrough products in a cutting-edge field.
  • Professional growth opportunities as we scale.

At SBQ, we are mission driven and collaborate with people independently of gender, race, beliefs, citizenship, orientation and value unconventional paths. Let's meet!