Careers
Computer Vision/Image Processing Engineer
Location: Research Triangle Park, NC
Job Description: This position will support research and development for statistical analytics of sensor data with an emphasis on computer vision, machine learning, probabilistic tracking, and statistical signal/image processing. The position will collaborate with other Signal Innovations Group (SIG) personnel to support code development, documentation, and data analysis for client-driven R&D programs. Efforts for this position will focus on intelligent sensor-based decision systems for airborne and ground-based video platforms in tactical environments.
Applicants should have a strong record of work experience in their field or equivalent graduate work. Successful applicants will demonstrate the ability to work in a multidisciplinary team with customers and contractors to develop externally sponsored research programs and expand the technological capabilities of the company. Applicants will be self-motivated to develop skills in new technical areas and to adapt to changing program emphasis, have excellent written and oral communication skills, and an innate drive to solve challenging and unique problems.
Preferred Qualifications: Successful candidates will have the following qualifications:
- MS or PhD in Electrical Engineering, Computer Science, or similar quantitative field with at least 2 years of relevant experience or an equivalent combination of education and experience.
- Experience developing and applying image processing and computer vision techniques such as image segmentation, feature extraction, object detection and tracking, and modeling.
- Experience with statistical signal processing including Bayesian methods.
- Proficiency using MATLAB and/or C/C++.
- Experience with electro-optical or infrared (EO/IR) sensor signal processing is preferred. RADAR, SONAR or LIDAR experience is a plus.
US Citizenship and the ability to obtain a Department of Defense (DoD) clearance is required to support relevant contract work. An active DoD clearance is preferred. Candidates that are unable to obtain a DoD clearance will not be considered for this position.