Image Processing Engineer

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

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

• 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.

• 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.

Benefits information will be provided during the interview process. Panacea offers competitive compensation, health insurance, learning stipends, and a collaborative work culture.