Principal Computer Vision Engineer - Durban (On-Site)

Placements24; Durban; On-site; ZAR 1,200,000 - 1,900,000; Full time

Benefits offered by this job

Highly competitive salary and bonus

Comprehensive health and wellness

Generous annual leave

Relocation assistance

Access to advanced training

Job summary

Placements24 seeks a Principal Computer Vision Engineer in Durban to lead the design and deployment of advanced vision systems. You will tackle image and video analysis challenges, develop end-to-end CV solutions, and mentor junior engineers within a collaborative R&D environment.

The role requires a strong background in deep learning for vision, proficiency in C++ and Python, and hands-on experience with OpenCV, CUDA, and DL frameworks. On-site work in Durban is expected.

Qualifications

• Master's or Ph.D. in Computer Science, Electrical Engineering, or related field with CV specialization.
• 10+ years of experience in computer vision research and development.
• Proficiency in C++ and Python, with libraries such as OpenCV, CUDA, and DL frameworks (TensorFlow, PyTorch).
• Strong understanding of camera models, calibration, and 3D geometry.

Responsibilities

• Lead the research, design, and development of advanced computer vision algorithms and systems.
• Develop and optimize solutions for object recognition, segmentation, pose estimation, 3D reconstruction, and motion analysis.
• Implement and deploy robust computer vision models using DL frameworks (PyTorch, TensorFlow).
• Collaborate with hardware and software teams to integrate vision systems into products.
• Mentor junior engineers and help drive technical strategy and roadmap.

Skills

Computer vision

C++

Python

OpenCV

PyTorch/TensorFlow

Leadership

Education

Master's or PhD in CV-related field

Tools

CUDA

OpenCV

Job description

Placements24 seeks a Principal Computer Vision Engineer in Durban to lead the design and deployment of advanced vision systems. You will tackle image and video analysis challenges, develop end-to-end CV solutions, and mentor junior engineers within a collaborative R&D environment.

The role requires a strong background in deep learning for vision, proficiency in C++ and Python, and hands-on experience with OpenCV, CUDA, and DL frameworks. On-site work in Durban is expected.