Senior Computer Vision Engineer

Original job posting

Research and develop scalable computer vision and machine learning solutions for 3D reconstruction, imaging, and quality inspection equipment. Design and deploy full-stack vision systems using C++ and Python for medical and industrial applications.

Job details

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. 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).

What you’ll do

Research and develop scalable computer vision and machine learning solutions for 3D reconstruction, imaging, and quality inspection equipment. Design and deploy full-stack vision systems using C++ and Python for medical and industrial applications.

Requirements

Requires a Master's or PhD in Computer Science or Engineering with at least 3-4 years of industry experience in computer vision. Proficiency in C++, Python, and deep learning frameworks like PyTorch or TensorFlow is essential.

Listed skills

• Machine learning · Preferred
• C++ · Preferred
• Python · Preferred
• Embedded Systems · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Computer Vision
• 3D Reconstruction
• Machine Learning
• C++
• Python
• Deep Learning
• CNN
• Tensorflow
• Pytorch
• OpenCV
• GPU Optimization
• Image Processing
• Object Detection
• Camera Calibration
• Embedded Systems
• UML

Job areas

• Engineering
• Technology
• Software
• Science & Research
• Manufacturing