Image Processing SME

Responsibilities

• Analyze and develop image correction algorithms to compensate for optical aberrations, lensing defects, sensor non-linearity, geometric distortions, illumination inconsistencies, and other imaging artifacts
• Design, evaluate, and optimize advanced image processing pipelines for scientific and high-resolution imaging systems
• Develop algorithms for object detection, feature extraction, segmentation, classification, and pattern recognition within large image datasets
• Create and optimize image stitching, registration, and mosaic generation techniques for microscopy and scientific imaging applications
• Implement image preprocessing methods including noise reduction, deconvolution, contrast enhancement, normalization, filtering, and edge detection
• Collaborate with FPGA engineers to transition computational imaging algorithms into hardware-accelerated implementations
• Evaluate algorithm performance, accuracy, throughput, and resource utilization for real-time and near-real-time processing applications
• Develop and validate machine learning and computer vision models for automated image analysis workflows
• Support integration, testing, verification, and validation of imaging systems and processing pipelines
• Document technical designs, algorithm performance analyses, validation results, and implementation approaches
• Provide technical leadership and subject matter expertise on imaging science, computational photography, and machine vision technologies

Requirements

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, Imaging Science, or a related technical discipline
• 8+ years of experience developing advanced image processing, computer vision, or computational imaging solutions
• Strong understanding of image formation, optics, sensor technologies, and imaging system performance characteristics
• Demonstrated experience correcting scientific image data affected by aberrations, lens distortion, optical anomalies, non-uniform illumination, and sensor artifacts
• Expertise in object detection, feature extraction, image segmentation, and pattern recognition algorithms
• Experience developing image registration, alignment, and stitching solutions for large-scale image mosaics
• Strong knowledge of image preprocessing techniques and enhancement methodologies
• Experience handling large, high-resolution image datasets while optimizing performance and computational efficiency
• Proficiency in Python, C++, MATLAB, or similar algorithm development environments
• Ability to communicate complex technical concepts effectively across engineering disciplines