Senior .NET Image Processing Engineer for 3D Imaging

Intetics; Georgia; On-site; USD 105,000 - 140,000; Full time

Job summary

Intetics Inc. is seeking a Senior .Net Engineer to join a global technology team focused on high-performance image processing systems.

You will design and maintain services capable of handling terabytes of 3D and raster images daily, implementing advanced algorithms for segmentation, feature extraction, and object recognition. The role includes building back-end tools to visualize and manipulate 3D images and point clouds, optimizing performance, and ensuring robust data storage and fast access.

Qualifications

• Extensive experience in C#/.NET/.NET Core.
• Strong understanding of performance optimization and image processing techniques.
• Experience with raster image processing and manipulation.
• Familiarity with image file formats (TIFF, JPEG, PNG).
• Knowledge of multithreading and parallel processing.
• Experience with SQL and large storage databases (MS SQL or PostgreSQL).

Responsibilities

• Develop and maintain a high-performance image processing system capable of processing terabytes of 3D and raster images daily with 24/7 availability.
• Implement algorithms for image segmentation, feature extraction, and object recognition.
• Develop back-end tools to visualize and manipulate 3D images and point cloud data.
• Optimize speed and memory usage for maximum efficiency.
• Implement database management solutions for image data storage and retrieval.
• Integrate with embedded devices via gRPC.
• Collaborate with microscope hardware engineers to ensure seamless workflow integration.

Skills

C# / .NET

Performance optimization

Image processing

Multithreading

SQL / databases

OpenCV / imaging libraries

Tools

ADO.NET

Entity Framework

Dapper

gRPC

Job description

Intetics Inc. is seeking a Senior .Net Engineer to join a global technology team focused on high-performance image processing systems.

You will design and maintain services capable of handling terabytes of 3D and raster images daily, implementing advanced algorithms for segmentation, feature extraction, and object recognition. The role includes building back-end tools to visualize and manipulate 3D images and point clouds, optimizing performance, and ensuring robust data storage and fast access.