Description

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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