Image Processing Engineer

Panacea Medical Technologies; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Health insurance

Learning stipends

Collaborative culture

Job summary

Panacea Medical Technologies in Bengaluru seeks a software engineer to develop medical image processing algorithms, deep learning models, and CUDA GPU accelerations for imaging solutions. You will work with ITK, SimpleITK and 3D Slicer, handling DICOM and NIfTI formats, in a collaborative clinical environment.

The role focuses on high-performance C++ development, OOP, and applying ML/DL techniques for feature extraction, segmentation and enhancement, while partnering with clinical physicists and

Qualifications

• BE/BTech or ME/MTech in Biomedical Engineering, Medical Electronics or CS.
• 1–5 years in image processing, computer vision or medical imaging software.
• Strong C++, OOP, ML/DL, and CUDA experience.

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 OOP standards.
• Utilize GPU programming with CUDA to accelerate real-time medical image processing routines.
• Handle DICOM, NIfTI, and standard medical image formats using ITK, SimpleITK, and 3D Slicer.
• Collaborate with clinical physicists and software engineers for integration into clinical applications.

Skills

C++

OOP

Machine learning

Deep learning

CUDA

Education

BE / BTech in Biomedical Engineering

ME / MTech in Biomedical Engineering

CS background

Tools

ITK

SimpleITK

3D Slicer

DICOM

NIfTI

Job description

Whitefield Bangalore / Malur (Kolar District) 25 Km from Bangalore Software Development 1 to 5 years BE / B Tech & ME / M Tech in Biomedical Engineering / Medical Electronics / Computer Science Posted 2 weeks ago

About the Role

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.

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.

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

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