iRay is a global leader in the development and manufacturing of key X-ray system components used in medical, veterinary, and industrial imaging applications. Founded in 2011, iRay is headquartered in Shanghai, China, and has production facilities in China, Korea. In 2023 iRay opened a facility in Solon, Ohio. The company is listed on the Science and Technology Innovation Board of Shanghai's Stock Exchange as of September 18, 2020. The company's designs provide innovative detection and imaging capabilities to healthcare and industrial customers. iRay's technologies support the detection and identification of disease, and their X-ray imaging systems help clinicians visualize anatomy and lesions, guide interventions, and navigate inside the human body. Their industrial systems aid in the early recognition of security threats and provide the best material insights for non-destructive testing, such as those used in battery, electronics, and welding inspections. Through innovation and with leading technology development, iRay has introduced a broad flat panel X-ray detector portfolio, which spans from amorphous silicon to Oxide sensors, flexible substrates, and CMOS detectors. In recent years iRay has expanded its product offerings to include X-ray collimators, generators, ionization chambers, microfocus tubes, and high-energy linear accelerators. The Solon, Ohio site is dedicated to designing and manufacturing both projection X-ray and 3D Computed Tomography (CT) systems, incorporating state-of-the-art X-ray generation and detection technology.
About the Role:
We are seeking a Senior Algorithm Engineer to lead the design and development of advanced CT image post-processing modules for our next-generation medical imaging platform. This is a product-focused role, ideal for someone passionate about turning robust algorithms into reliable, scalable, and clinically impactful software.
You will contribute to or lead the development of post-processing solutions across multiple CT imaging domains - including CT perfusion, vessel analysis, lung and cardiac quantification, and 3D visualization - using either traditional computational methods or AI-driven techniques. Expertise in one of these areas is essential; experience in both is a strong plus.
Key Responsibilities: • Architect and implement production-ready algorithms for CT image post-processing, including: brain/liver/tumor perfusion, vascular analysis, coronary analysis, lung quantification, virtual endoscopy, 3D visualization, and automated tissue segmentation • appropriate computational techniques (traditional or AI-based) depending on use case constraints (accuracy, speed, robustness). • Integrate algorithms into real-world clinical pipelines and work closely with software engineers on deployment. • Benchmark algorithm performance, conduct ablation studies, and support clinical validation efforts.
Required Qualifications: • M.S. or Ph.D. in Biomedical Engineering, Medical Imaging, Computer Science, Applied Mathematics, or a related field. • 5+ years of hands-on experience in CT image postprocessing algorithm development, with a track record of product delivery, including: brain/liver/tumor perfusion, vascular analysis, coronary analysis, lung quantification, virtual endoscopy, 3D visualization, and automated tissue segmentation. • Deep expertise in at least one of the following:
o Classical imaging algorithms: segmentation, registration, deconvolution, morphology, thresholding
o AI-based approaches: deep learning for 2D/3D medical image analysis (U-Net, V-Net, transformers, etc.) • Strong coding skills in Python, C++, or MATLAB. • Proficiency with medical image formats and libraries: DICOM, NIfTI, SimpleITK, NiBabel, OpenCV, etc. • Experience working with clinical imaging data in real-world workflows (brain, chest, or cardiac CT).
Preferred Qualifications (Nice to Have): • Experience in both traditional and deep learning-based methods for CT medical image post-processing PRODUCT development. • Familiarity with clinical perfusion analysis, stroke imaging, or cardiac CTA. • Hands-on experience with AI frameworks such as PyTorch, TensorFlow, or MONAI. • Familiarity with real-time 3D visualization platforms (e.g., VTK, Slicer, MeVisLab).