Image Processing Engineer

Job Summary

Develop medical image processing algorithms, deep learning models, and CUDA GPU accelerations for medical imaging solutions.

Key Responsibilities

• Develop and optimize image processing algorithms for medical imaging and radiotherapy applications.
• Implement machine learning and deep learning algorithms for image feature extraction, segmentation, and enhancement.
• Write high-performance, modular C++ code adhering to Object-Oriented Programming (OOP) standards.
• Utilize GPU programming with CUDA to accelerate real-time medical image processing routines.
• Handle DICOM, NIfTI, and standard medical image formats using frameworks like ITK, SimpleITK, and 3D Slicer.
• Collaborate with clinical physicists and software engineers for integration into clinical applications.

Qualifications & Requirements

• BE / B Tech & ME / M Tech in Biomedical Engineering / Medical Electronics / Computer Science.
• 1 to 5 years of experience in image processing, computer vision, or medical imaging software.
• Strong proficiency in C++, OOP concepts, machine learning, and deep learning algorithms.
• Hands-on experience with GPU programming using CUDA.
• Familiarity with medical imaging standards (DICOM, NIfTI) and toolkits (ITK, SimpleITK, 3D Slicer) preferred.

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