Senior Embedded Imaging & Camera Driver Software Engineer

We are seeking a highly skilled Senior Embedded Engineer with strong experience in camera driver development , embedded imaging systems , and cross-platform SDK integration to join our growing team. 

The ideal candidate will have a proven track record in developing complex low-level software across platforms (Linux, Android, Windows), working with camera/IMU sensors, and contributing to system architecture and imaging pipelines. 

This role is pivotal in taking over advanced development work previously handled by a senior engineer. You will support multiple camera modules and embedded platforms including Qualcomm and NVIDIA , while also contributing to software bindings, AI optimization, automated testing, and cloud architecture transitions. 

Our company offers flexible contract options, including full-time (40 hours) positions, with remote work possible. However, preference will be given to candidates based in Montréal , Québec while other locations in Canada could be considered. 

Responsibilities:  

• Develop, port, and maintain camera drivers (e.g., MIPI CSI-2, I2C, SPI, EEPROM, AF motors, LED flash). 
• Perform camera hardware bring-up on embedded platforms (Qualcomm, NVIDIA, Intel,…). 
• Create and debug Windows/Linux shared libraries , including driver interface modules. 
• Work on advanced topics like Computer vision algorithm integration, AI model integration , and real-time video processing . 
• Support cross-platform development including Linux, RTOS, Android, and Windows environments. 
• Collaborate with hardware, AI, and software teams to align technical designs with product requirements. 
• Follow a disciplined development process using GIT, CI pipelines, CMake, and project management tools. 

Qualifications:  

• Degree in Computer Science, Electrical Engineering, or related field. 
• Minimum 3 years in embedded systems, camera drivers, or imaging pipelines. 
• Strong proficiency in C/C++ and Python for embedded systems. 
• Deep understanding of camera system architecture and modern C++ (C++17/20), including RTTI, factory patterns, and template meta-programming. 
• Hands-on experience with: 
• Linux DTSI customization  
• OpenCV , CUDA , TensorRT , GStreamer  
• OpenGL shaders , image/video compression , noise reduction  
• Pytorch , AI model quantization , ONNX conversion  
• Android Studio , adb , UVC , and Qualcomm VRT SDK  
• Experience building low level camera and IMU drivers across platforms: Linux , Android , Windows  
• Familiar with Git version control , CMake scripts , Buildroot ,
• Must be eligible to obtain and maintain a government of Canada “Reliability” status 

Preferred Experience (Plus):  

• Experience on Qualcomm platform (Linux and Windows) : camera driver , HAL(CHI), CamX. 
• NVIDIA AGX Orin development and AI deployment workflows 
• SAAS migration and architecture, including Docker and cloud containers is a plus. 
• Knowledge of Python asynchronous systems programming  
• Knowledge of automated testing systems using Python, SikuliX, and Google Test is an asset. 
• Familiarity with Docker , GRPC , and cloud deployment  
• C# for UI or auxiliary tools development 

If you're a problem solver who thrives at the intersection of hardware, firmware, and AI-powered imaging pipelines, and are ready to contribute to world-class vision-based systems, we encourage you to apply. 

Security clearance required:

This position requires eligibility to obtain a Canadian government security clearance, which typically involves Canadian citizenship or permanent residency, as well as a verifiable background history.

Immervision is committed to an inclusive and equitable workplace. We welcome applications from all qualified candidates.