Senior Embedded Engineer - Imaging & Vision Systems

Senior Embedded Engineer - Imaging & Vision SystemsJob Openings Senior Embedded Engineer - Imaging & Vision Systems
About the jobSenior 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 OverviewAs 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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