Photon Counting CT Algorithm Engineer
About iRayiRay is a global leader in the development and manufacturing of critical X-ray system components for medical, veterinary, and industrial applications. Founded in 2011 and headquartered in Shanghai, iRay is publicly traded on the Science and Technology Innovation Board. Our technologies in clinical systems empower clinicians to visualize complex anatomy, guide interventions, and improve patient outcomes. Industrial systems incorporating our components support early threat recognition and deliver unmatched material insights for non-destructive testing.Our Solon, Ohio facility is a center of excellence dedicated to the design and manufacture of cutting-edge projection X-ray and 3D Computed Tomography (CT) systems. As we push the boundaries of X-ray generation and detection technology - including photon counting detector (PCD) based CT - we are growing our algorithm team to match the pace of our innovation.About the RoleWe are seeking a talented and technically rigorous Algorithm Engineer to join our photon counting CT (PCCT) imaging algorithm team in Solon, Ohio. You will own algorithm development across the full CT imaging pipeline: from raw photon counting detector data correction and spectral calibration, through advanced image reconstruction, to AI-driven post-processing and clinical application development.This is a hands-on research-and-engineering role requiring both theoretical depth and practical implementation ability. You will work closely with detector physicists, system engineers, clinical scientists, and radiologists to bring novel algorithms from prototype to clinical product. Key ResponsibilitiesCT Data Correction & Spectral Calibration· Develop and optimize photon counting detector correction algorithms: pulse pileup correction, charge sharing correction, electronic noise suppression, energy bin calibration, gain/offset nonuniformity correction, and count rate linearity correction.· Model and correct CT system-level artifacts: beam hardening, X-ray scatter estimation and correction, ring artifact suppression, bad pixel handling, and geometric calibration.Image Reconstruction· Implement and optimize CT reconstruction algorithms .· Develop spectral reconstruction algorithms including projection-domain and image-domain material decomposition, K-edge subtraction imaging, and virtual monoenergetic image (VMI) generation.AI / Deep Learning Algorithm Development· Design, train, and validate deep learning-based imaging algorithms.· Build robust training pipelines using clinically realistic CT simulation, physics-informed data augmentation, and domain generalization strategies.Clinical Application Development· Translate clinical imaging tasks into algorithmic solutions: quantitative iodine/calcium mapping, virtual non-contrast (VNC) imaging, K-edge contrast agent imaging, small lesion detectability optimization, and dose reduction.· Evaluate algorithm performance using clinically meaningful metrics.Required QualificationsEducation· PhD in Medical Physics, Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics, or a closely related field.CT Physics & Imaging Fundamentals· Solid understanding of X-ray interaction physics.· Familiarity with CT acquisition geometry, sinogram formation, sampling theory, and Fourier-domain reconstruction.· Working knowledge of CT image quality metrics: MTF, NPS, CNR, DQE, and task-based detectability.Mathematics & Signal Processing· Strong foundation in linear algebra, optimization theory (convex and non-convex), and statistical estimation (MAP, ML, Bayesian inference).· Proficiency in signal processing: Fourier analysis, filter design, noise propagation modeling, and regularization theory.Programming & Algorithm Implementation· Proficiency in Python and/or MATLAB for algorithm prototyping, numerical simulation, and validation.· C/C++ experience for performance-critical implementation is a significant plus.· Familiarity with GPU-accelerated computing (CUDA, cuDNN) for reconstruction or training workloads is a plus.AI / Deep Learning· Demonstrated experience developing and training deep neural networks for image processing or reconstruction tasks.· Understanding of loss function design, regularization, and training stability issues specific to medical imaging.LocationSolon, Ohio (Cleveland metropolitan area). What We OfferA comprehensive benefits package including: Medical, Dental, and Vision coverage; Company-paid Short-term and Long-term Disability insurance; 401(k) with company match up to 4%; Company-paid employee life insurance and additional voluntary benefit programs.iRay is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.