Image Processing SME with Security Clearance

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.
• Work with multidisciplinary teams including FPGA developers, software engineers, optical engineers, data scientists, and system architects.
• 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.
• Able to communicate complex technical concepts effectively across engineering disciplines.

Desired Qualifications

• Experience supporting FPGA-based image processing architectures and hardware acceleration initiatives.
• Knowledge of GPU computing, parallel processing, and high-performance computing techniques.
• Experience developing machine learning models for image classification, detection, segmentation, and anomaly detection.
• Familiarity with hyperspectral, multispectral, electro-optical, infrared, or scientific imaging systems.
• Experience working with microscopy imagery, laboratory imaging systems, or advanced scientific instrumentation.
• Knowledge of computer vision model deployment for real-time processing environments.
• Experience supporting government agencies, research laboratories, federally funded research organizations, or commercial entities focused on imagery exploitation and analysis.
• Familiarity with imaging standards, calibration methodologies, and quantitative image quality assessment.
• Experience utilizing image processing libraries such as OpenCV, SciPy, NumPy, scikit-image, TensorFlow, PyTorch, or equivalent frameworks.

Education

• The individual will likely hold a Masters Degree or even a PhD in Electrical Engineering, Physics, Computer Science, Computer Engineering or Mathematics.

Requirements

• TS/SCI Full Scope Poly required.

Benefits

• 401K: up to 3% discretionary profit sharing contribution + 100% match on the 1st 7% of pay
• PTO: 20 days per year
• Healthcare, dental, vision, Free for a single participant
• $50,000 Life insurance provided, additional voluntary life insurance available

Company Information

• InterImage, Inc.
• Fort Meade, Maryland