Image Processing SME
Indexed description
The successful candidate will contribute to the development of advanced imaging solutions involving microscopy, scientific sensors, electro-optical systems, and other high-resolution imaging platforms. This position offers the opportunity to solve complex imaging challenges while supporting innovative technologies for government, research, and commercial applications.
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
- 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
- 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
- The individual will likely hold a Masters Degree or even a PhD in Electrical Engineering, Physics, Computer Science, Computer Engineering or Mathematics
- TS/SCI Full Scope Poly required
- 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
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search