Senior Edge AI & Imaging Developer
Harvey Nash
Montréal, Canada Full Time Technology Jobs Canada New
Job Description
Job Title: Senior Edge AI & Imaging Developer
Location: Montreal (Hybrid 3 Days onsite)
Duration: Contract 6 Months to Hire
Job Description
About the Role We are pushing the boundaries of computational imaging, wide-angle vision, and Edge AI. We are seeking a Senior Edge AI & Imaging Developer who is passionate about solving complex technical challenges at the intersection of advanced image processing, computer vision, and embedded artificial intelligence. This is a unique opportunity to contribute to innovative technology being developed by only a select few teams worldwide.
You will work on cutting-edge imaging solutions that directly influence how visual information is captured, processed, and understood.
Key Responsibilities
- Design, develop, and optimize advanced imaging pipelines using C/C++ and Python.
- Build and enhance image processing components including dewarping, stitching, calibration, noise reduction, and geometric transformations.
- Deploy and optimize AI/ML models on edge devices such as Nvidia Jetson and Qualcomm platforms.
- Improve model performance through quantization, pruning, TensorRT, ONNX, and other optimization techniques.
- Develop scalable MLOps workflows for training, deployment, and monitoring of computer vision models.
- Optimize algorithms for resource-constrained embedded environments across ARM and x86 architectures.
- Collaborate with multidisciplinary teams to advance computational imaging and vision technologies.
Required Qualifications
- Master's degree or Ph.D. in Computer Science, Computer Vision, Signal Processing, Physics, or a related field.
- Strong experience in C/C++ and Python development.
- Deep expertise in computational imaging, including: Geometric projections, Color correction and image enhancement, Fourier transforms, Real-time image rendering
- Hands-on experience with AI/ML frameworks such as PyTorch and TensorFlow.
- Experience deploying and optimizing AI models for edge hardware.
- Strong understanding of embedded systems, including ARM-based architectures and Nvidia Jetson platforms.
- Experience with software testing, performance optimization, and cross-platform development.
- Fluency in both French and English.
Preferred Qualifications
- Camera calibration and lens characterization.
- Optical simulation tools such as Zemax or CodeV.
- SLAM, 3D reconstruction, or spatial computing experience.
- Unity-based visualization and rendering.
- Camera hardware, sensor integration, BSP, or driver development experience.
- Research publications, patents, or other notable technical contributions.
Posted August 8, 2026