Senior Computer Vision Engineer

Placements24; Stellenbosch; Híbrido; ZAR 900.000 - 1.400.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Stock options

Hybrid work model

Health, dental, and vision insurance

Patent and publication opportunities

Access to high-performance computing

Descripción de la vacante

Placements24 in Stellenbosch seeks a Senior Computer Vision Engineer to lead the development of advanced vision algorithms and systems. You will work on cutting-edge reflect intelligent image and video analysis across diverse applications and collaborate with a multidisciplinary team of engineers and researchers.

You will design and optimize CV models, train deep learning systems with PyTorch/TensorFlow, and drive product innovation while contributing to embedded-friendly, real-time vision

Formación

• Master's or PhD in Computer Science, Electrical Engineering, or a related field with a specialization in computer vision.
• 5+ years of experience in computer vision research and development.
• Strong proficiency in Python and C++, with OpenCV and CUDA.
• Deep understanding of CNNs, RNNs and Transformers.

Responsabilidades

• Design, implement, and optimize computer vision algorithms for tasks such as object detection, recognition, tracking, and image segmentation.
• Develop and train deep learning models for computer vision applications using frameworks like TensorFlow or PyTorch.
• Process and analyze large image and video datasets to extract meaningful information and improve model performance.
• Collaborate with hardware engineers to integrate vision systems into embedded platforms and real-time applications.
• Conduct research into new computer vision techniques and evaluate their potential for product development.
• Write clean, efficient, and well-documented code, and participate in code reviews.

Conocimientos

Python

C++

OpenCV

CUDA

CNNs

RNNs

Transformers

Deep Learning

Educación

Master's or PhD in Computer Science or Electrical Engineering

Herramientas

PyTorch

TensorFlow

Descripción del empleo

About the Role

Our client is looking for a highly skilled Senior Computer Vision Engineer to join their innovative research and development team in Stellenbosch . You will be at the forefront of developing cutting-edge computer vision algorithms and systems for a variety of applications. This role involves pushing the boundaries of visual intelligence, contributing to products that rely on advanced image and video analysis. You will collaborate with a multidisciplinary team of engineers and researchers, applying state-of-the-art techniques to solve challenging real-world problems and drive product innovation.

Key Responsibilities

• Design, implement, and optimize computer vision algorithms for tasks such as object detection, recognition, tracking, and image segmentation.
• Develop and train deep learning models for computer vision applications using frameworks like TensorFlow or PyTorch.
• Process and analyze large image and video datasets to extract meaningful information and improve model performance.
• Collaborate with hardware engineers to integrate vision systems into embedded platforms and real-time applications.
• Conduct research into new computer vision techniques and evaluate their potential for product development.
• Write clean, efficient, and well-documented code, and participate in code reviews.

Requirements

• Master's or PhD in Computer Science, Electrical Engineering, or a related field with a specialization in computer vision.
• 5+ years of experience in computer vision research and development.
• Strong proficiency in Python and C++, with extensive experience in relevant libraries (OpenCV, CUDA).
• Deep understanding of deep learning architectures and frameworks (e.g., CNNs, RNNs, Transformers).
• Experience with large-scale image and video data processing and management.
• Proven track record of delivering robust computer vision solutions.

Benefits

• Attractive salary with performance-based incentives and stock options.
• Hybrid work model enabling flexibility and work-life integration.
• Comprehensive health, dental, and vision insurance.
• Opportunities for patent applications and academic publications.
• Access to high-performance computing resources and a collaborative research environment.