Senior Image Science Engineer - Military veterans preferred

SAIC has an immediate need for a Senior Image Scientist with image chain analysis experience.  Candidate will serve as the dedicated SME overseeing factory acceptance testing (FAT) for a suite of electro-optical image processing algorithms as well as working to define appropriate product quality metrics to ensure accuracy and integrity of the image data and products delivered to users.

Major duties of the position include:

• Review and assess test plans, use cases, and procedures against functional requirements
• Ensure contractor compliance with general algorithm development and testing best practices
• Attend, monitor and report on aspects of actual test execution
• Participate in review of issues associated with anomalies and defects within processing algorithms
• Assist in troubleshooting issues uncovered during testing, and stay actively involved as new versions are released to address discrepancy reports (DRs) uncovered
• Support product evaluations, quality studies, new product initializations, and product algorithm assessments
• Refine image quality equation to quantify the expected quality of a system given various parameters
• Decompose product formation elements to quantify the overall quality of the image chain
• Algorithm assessment to quantify the performance of a product given desired mission application
• Perform baseline assessment of system performance to support sensor initialization
• Monitor of system performance over time
• Respond to detected errors and artifacts by recommending possible causes and corrective actions
• Communicate issues and solutions to the broader government and contract management structure as requested by leadership
• Develop alternative courses of action, work-arounds, and fallback positions with a recommended course of action for each risk, and monitor and re-evaluate risks at appropriate milestones

 Successful candidates must have demonstrated knowledge and hands-on experience with:

• Assessing the performance of an imaging system in terms of the interaction of various system components
• Designing user experiments for the purpose of understanding system design impacts or identifying optimal parameter settings
• Explaining complex imaging phenomena to government and corporate management
• Applying image science and system engineering experience with sensor phenomenology, image formation processes, and development of operational/prototype processing algorithms
• Reviewing and supporting the development and testing of new imagery products
• Image chain analysis to include sensor modeling, signal quality and noise, optics, detector calibration, and image processing of pixel data
• Application of error estimation
• Application of proper design of experiments