Senior Edge AI & Imaging Developer
IMMERVISION —Montréal, QC
- Hybrid work
- Bilingual
- Doctoral degree
- Computer Science

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Senior Edge AI & Imaging Developer

IMMERVISION
Montréal, QC

Apply Now

Job details

Skills

Bilingual
French
TensorFlow
Doctoral degree
Computer Science
Software Engineering
PyTorch
Engineering
Firmware
English
Research
Windows
Master's degree
C++
C
Machine learning
Continuous integration
Physics
Software development
Unity
Linux
Unit testing
AI
Python

Full job description

Computational Imaging, Vision Systems & Intelligent Image Processing

We are looking for a senior imaging and Edge AI developer with a strong imaging background who combines high-performance software development with applied AI research. The ideal candidate has deep expertise in image processing pipelines and computational imaging, masters modern deep learning approaches for vision applications, and is comfortable working across embedded imaging platforms and cloud environments.

Required Technical Skills

Software Development & Algorithms

Strong proficiency in C/C++ for real-time, performance-critical development
Advanced Python for prototyping, data analysis, and machine learning
Hands-on experience developing traditional image processing algorithms: dewarping, stitching, calibration, colorimetric correction, noise reduction, anti-aliasing
Solid understanding of geometric projections, coordinate transformations, and applied mathematics for imaging (Fourier transforms, 2D convolutions, regressions)
Experience with 3D engines and real-time rendering (structured meshes, 360° visualization)

Artificial Intelligence & Machine Learning

Proficiency with deep learning frameworks: PyTorch, TensorFlow
Experience deploying AI/ML models from research to production environments
Familiarity with ML model optimization for edge deployment (quantization, pruning, model compression)
Experience building and maintaining end-to-end ML pipelines (data preparation, training, evaluation, deployment)
Knowledge of MLOps practices: model versioning, monitoring, and continuous integration of AI components
Experience with inference engines and AI acceleration platforms (ONNX, TensorRT, OpenVINO, or equivalent)

Platforms & Environments

Linux and Windows
Embedded systems: ARM, Nvidia Jetson (Orin, Xavier), Qualcomm Dragonfly
Algorithm optimization for constrained architectures (integer arithmetic, shift-expressions, multi-threading)

Methodologies & Quality

Unit testing, performance benchmarking, non-regression testing
Multi-architecture code portability (x86, ARM, 64-bit)
R&D project management and technical team coordination

Nice-to-Have Skills

Experience in computer vision and optics: camera system calibration (intrinsic/extrinsic parameters, auto-calibration), optical simulation tools (Zemax, CodeV), sensor fusion for stabilization, 3D reconstruction (SLAM, octree, marching cubes)
Experience with image simulation and rendering Unity for scene simulation
Knowledge in camera hardware and firmware: sensor, SoC, BSP, driver.
Patent contributions or peer-reviewed scientific publications
Domain experience in automotive, drones, security, AR/VR, or smartphones

Education

M.Sc. or PhD in Computer Science, Physics, Software Engineering, Signal Processing, Computer Vision, or a related field

Languages

Fluent in French and English

Eligibility Requirements

Immervision is committed to fostering an inclusive and equitable workplace and encourages applications from all qualified candidates. Please note that, due to the nature of certain projects and client requirements, this position requires eligibility to obtain a Canadian government security clearance (Reliability Status or Secret level), which typically involves Canadian citizenship or permanent residency, as well as a verifiable background history in Canada.

Benefits

As part of our overall compensation package, you will benefit from a comprehensive group insurance plan, as well as an attractive vacation entitlement that increases with seniority, reflecting our commitment to supporting your well-being and work–life balance.

Work Mode & Location

Hybrid options available.
Preference for candidates near Montréal (QC).

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