Senior Embedded Engineer - Imaging & Vision Systems

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

Version control experience (Git, SVN, etc.)

Strong problem-solving, debugging, and documentation capabilities

Creative, independent, and passionate about building cutting-edge imaging solutions

Role Overview

As a Senior Embedded Engineer , youll 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.

️ Key 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.