Senior Computer Vision Engineer

Brainpower360; Vancouver; On-site; CAD 90,000 - 130,000; Full time

Job summary

Brainpower360 is seeking a skilled CV/ML engineer to advance scalable 3D reconstruction and 2D/3D imaging technologies. You will work on camera calibration, object detection, image processing, and metrology, applying state-of-the-art CV methods and deep learning in embedded environments.

The role involves researching algorithms, optimizing performance on GPUs, and delivering full-stack machine vision solutions in C++ and Python for medical and quality-inspection equipment.

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 computer vision for 3D reconstruction, 2D/3D imaging, camera calibration, object detection, image processing, denoising, segmentation and metrology.
• Research and develop machine learning algorithms to solve challenging problems.
• Engineer solutions for quality inspection equipment, medical equipment, and more.
• Design, implement, and deploy full-stack machine vision and ML solutions using C++ and Python.

Skills

CV algorithms & applications

ML on embedded

Algorithm optimization

ML frameworks & libraries

C++ in embedded with GPU

Education

Master's degree in CS/EE or related (PhD preferred)

Tools

TensorFlow

PyTorch

Caffe

Torch

OpenCV

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).