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Embedded Ai Engineer Jobs in Quebec (NOW HIRING)

SB Quantum

Electrical Engineer

Sherbrooke, QC · On-site

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 ...

SBQuantum

Electrical Engineer

Sherbrooke, QC · On-site

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 ...

Levio

Senior Java Engineer

Montreal, QC · Hybrid

... 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)

Go RH

Systems engineer

Montreal, QC · On-site

... 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

Intact Financial

SRE specialist

Montreal, QC · Hybrid

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 ...

Trane Technologies

Software Architect

Montreal, QC · On-site +1

... 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 ...

trane technologies

Software Architect

Montreal, QC · On-site +1

... 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 ...

Trane Technologies plc

Software Architect

Montreal, QC · On-site +1

... 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 ...

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Showing results 21-40

All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Quebec

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 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 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 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:

Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer job openings in Quebec as of August 2026, with employment types broken down into 61% Full Time, 26% Part Time, and 13% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Senior Data Engineer

Valsoft Corporation

Montreal, QC • On-site

Full-time

Re-posted 8 days ago

Key responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes.

  • Build and optimize data models, warehouses, and data lakes to support analytics and reporting.

  • Collaborate with cross-functional stakeholders to understand data needs and deliver actionable solutions.

Job description

About Valpay 

At Valpay, we're building the next generation of embedded payments. We help SaaS companies transform payments from a utility into a new line of revenue. Our PayFac-as-a-Service model delivers all the benefits of integrated payments while we handle the complexity. 

We've helped more than 3,000 merchants across 12 verticals in North America, Europe, and Australia. Our Growth Pods operate like mini-business units—each responsible for acquiring software partners, activating their merchants, and delivering sustained revenue growth. 
 

The Role 

As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data infrastructure that supports analytics, reporting, product development, and operational decision-making. You will work closely with Engineering, Product, Finance, Operations, and Growth teams to ensure reliable, accessible, and high-quality data across the organization. 

This role is ideal for someone who thrives in a fast-paced environment, enjoys solving complex data challenges, and wants to have a direct impact on the growth of a rapidly scaling fintech company. 
 

What You'll Do 

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes. 
  • Build and optimize data models, warehouses, and data lakes to support business and product analytics. 
  • Partner with cross-functional stakeholders to understand data needs and deliver actionable solutions. 
  • Ensure data quality, integrity, governance, and observability across all systems. 
  • Improve the performance, reliability, and scalability of our data platform. 
  • Support real-time and batch data processing requirements. 
  • Develop and maintain documentation, standards, and best practices for data engineering. 
  • Collaborate with software engineers to integrate data solutions into customer-facing products and internal systems. 

What We're Looking For 

  • 5–8 years of experience in Data Engineering, Analytics Engineering, or a related field. 
  • Strong academic background in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative discipline. 
  • Experience designing and maintaining modern data architectures and large-scale data pipelines. 
  • Advanced SQL skills and strong proficiency in Python or another relevant programming language. 
  • Experience with cloud data platforms and modern data stack technologies. 
  • Strong understanding of data modeling, warehousing concepts, and distributed data systems. 
  • Proven ability to work cross-functionally and communicate technical concepts to non-technical stakeholders. 
  • Experience in payments, fintech, financial services, or transaction-heavy environments is strongly preferred. 
  • High attention to detail and a commitment to data quality and reliability. 
  • Strong knowledge of Snowflake, DBT, Airflow 
  • Strong knowledge and kills in AI development with top LLMs 

Nice to Have 

  • Experience working within embedded payments, PayFac, merchant acquiring, or payment processing environments. 
  • Experience with real-time streaming technologies and event-driven architectures. 
  • Familiarity with data governance, compliance, and security requirements in regulated industries. 
  • Experience building customer-facing data products or analytics platforms. 

Why Join Valpay? 

  • Build foundational data systems at one of the fastest-growing embedded payments companies. 
  • Work alongside entrepreneurial teams with significant ownership and autonomy. 
  • Influence key business decisions through data. 
  • Join a high-growth environment where your impact is visible and measurable. 
  • Competitive compensation, benefits, and opportunities for career growth.