Industry Professionals
Montreal (Administrative Region) / Global
Montreal (Administrative Region) / Global
Senior Embedded Engineer - Imaging & Vision Systems
Job Openings Senior Embedded Engineer - Imaging & Vision Systems
About the job
Senior Embedded Engineer Imaging & Vision Systems
Location: Hybrid Montreal, QC, Canada
Industry: Computer Vision, Medical & Scientific Imaging
Compensation: CAD $80,000 $110,000
Application Deadline: June 20, 2025
Type: Permanent, Full-Time
Were recruiting on behalf of a Canadian technology leader specializing in camera systems and embedded imaging solutions used globally in computer vision, medical diagnostics, and scientific imaging . With a growing presence in high-performance visual processing, this company delivers precision systems that power research labs, medical devices, and advanced machine vision platforms.
Must-Have Skills & Experience
Bachelors degree in Electrical Engineering , Software Engineering , or a related field
510 years of hands‑on experience in embedded software development
Solid background working with camera systems and image acquisition/processing hardware
Expertise in embedded C/C++ programming
Experience with FreeRTOS and/or Linux , including kernel and driver development
Familiarity with OS internals , real-time systems, and low-level device control
Proficient with GNU toolchains (gcc, make, ld, binutils)
Basic proficiency in Python for scripting or test automation
Strong problem-solving, debugging, and documentation capabilities
Creative, independent, and passionate about building cutting‑edge imaging solutions
Role Overview
As a Senior Embedded Engineer , you’ll play a critical role in designing and developing high‑performance firmware and low‑level software for imaging systems deployed in precision‑driven industries. You’ll work closely with cross‑functional teams to bring advanced camera and vision technologies to life, contributing to real‑world impact in healthcare, research, and automation.
Responsibilities
Develop embedded software in C for real‑time applications on Linux or FreeRTOS platforms
Build and optimize device drivers and kernel modules for image acquisition hardware
Design cross‑platform applications in C, C++ , and Python
Create, run, and maintain unit and integration tests for robust system performance
Collaborate with hardware, QA, and architecture teams to ensure system‑level integration
Troubleshoot, document, and continuously improve firmware and embedded systems
Be part of a highly specialized team creating next‑generation vision systems that drive innovation across medical, scientific, and industrial sectors
Applications close June 20, 2025. Submit early to ensure consideration.
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