Senior Computer Vision Engineer

Brainpower360; British Columbia; On-site; CAD 95,000 - 130,000; Full time

Job summary

Brainpower360 is seeking a highly skilled Computer Vision Engineer to advance 3D reconstruction, object detection, and metrology across imaging platforms. You will prototype and optimize algorithms for embedded and GPU-accelerated systems, collaborating with hardware teams.

The ideal candidate holds a Master’s degree in CS or ECE, has 4+ years in CV and ML, and is proficient with TensorFlow/PyTorch/OpenCV. Join a team building cutting-edge vision solutions.

Qualifications

• Master's degree in Computer Science or Electrical/Computer Engineering or relevant experience (PhD preferred).
• 4 years industry experience in Computer Vision related field.
• Minimum 3 years industry experience in Computer Vision or related field.

Responsibilities

• Research and develop scalable and cutting-edge computer vision for 3D reconstruction, 2D/3D imaging technologies, camera calibration, object detection, image processing, denoising, segmentation and metrology.
• Research, develop and employ machine learning algorithms for solving difficult and exciting challenges.
• Engineer solutions for quality inspection equipment, medical equipment, and more.
• Design, implement, and deploy full-stack machine vision/image-based and machine learning solutions, using C++ and Python.

Skills

3D reconstruction

object detection

image processing

segmentation

metrology

denoising

GPU programming

parallel processing

embedded systems

UML

Education

Master's degree in Computer Science or Electrical/Computer Engineering

PhD preferred

Tools

TensorFlow

PyTorch

OpenCV

Caffe

Torch

CUDA

Job description

• Research and develop scalable and cutting-edge computer vision for 3D reconstruction, 2D/3D imaging technologies, camera calibration, object detection, image processing, denoising, segmentation and metrology.
• Research, develop and employ machine learning algorithms for solving difficult and exciting challenges.
• Engineer solutions for quality inspection equipment, medical equipment, and more.
• Design, implement, and deploy full-stack machine vision/image-based and machine learning solutions, using C++ and Python.

Qualifications

• Master's degree in Computer Science or Electrical/Computer Engineering or relevant experience (PhD preferred).
• 4 years industry experience in Computer Vision related field.
• Minimum 3 years industry experience in Computer Vision or related field.

Required Skills

• Computer Vision algorithms and applications, such as 3D reconstruction (structured light, multi-view geometry, etc), object detection, recognition, image processing, and their optimizations for efficient implementation.
• Machine Learning, such as CNN/deep learning, shallow learning and their optimizations for efficient implementation on embedded systems.
• Algorithm optimization for efficient processing, exploiting parallelism, and GPU.
• Experienced in use of Machine learning and computer vision frameworks and libraries such as Tensorflow, Pytorch, Caffe, Torch, OpenCV, etc (>2 years).
• C++ programming skills, preferably in an embedded environment with GPU and familiar with UML (>2 years).