- Bachelor's Degree
- Master's Degree
- ICD Coding
- Computer Vision
The Electro-Optics Center (EOC), located in Freeport PA, a Division of The Applied Research Laboratory (ARL) at Penn State University, is seeking an experienced Computer Vision Systems Engineer. This position works closely with a multi-disciplinary team of engineers and scientists to design computer vision and imaging systems supporting various military and intelligence community customers. Responsibilities include: Lead and contribute to key technical efforts in the development of broad range of novel electro-optical sensor systems, and software and algorithm development for computer vision, image processing, machine learning, data fusion, automated test systems, control systems, and custom graphical user interfaces to push the state of the art of these systems; guide system development from desk/bench-top and field-testable prototype to transitioned, field-deployable product, and support operationalization of techniques through field integration and testing activities, data analysis, and lab experimentation; document work in memoranda, sponsor briefs, conference proceedings, and journal articles, and brief senior leadership and sponsors; and work with leadership to develop project/staffing plans, participate in strategic business planning, new business development and internal research and development efforts. This job will be filled as a level 3, level 4, or level 5, depending upon the successful candidate's competencies, education, and experience.
Typically requires a Bachelor's degree or higher in an Engineering or Science discipline (Master's degree preferred) or higher plus five years of related experience, or an equivalent combination of education and experience for a level 3. Additional experience and/or education and competencies are required for higher level jobs. A Master's degree in Electrical Engineering, Computer Science or Physics/Optics is desired. Preferred experience areas include: Fifteen years in a computer vision-related industry, consulting, or academia with some experience building products for Department of Defense or Intelligence Community customers; real time/embedded application development and control systems theory; CUDA and/or GPGPU computing libraries; writing software design documents and ICDs; three dimensional data processing and visualization; GPS and positioning systems; simultaneous location and mapping (SLAM); active or passive remote sensing systems; and Distributed Aperture Systems, Visual Augmentation Systems, and EO System Modeling tools.
Current Secret clearance with eligibility for TS/SCI is highly desired. Preferred experience in developing computer vision, imaging systems, or machine learning systems for military or intelligence community customers; familiarity with remote sensing physics and theory, detection, and estimation theory, image processing, active or passive camera systems, photogrammetry/stereo imaging, metrology and inspection, image display technologies, multispectral and hyperspectral systems, and augmented reality technology; C and C++, Java, C#, MATLAB or CUDA; Windows, Linux, and real-time operating environments; OpenCV; and interfacing with hardware via an ICD. Attributes to be successful in this position include: Excellent written (including technical writing), verbal, and interpersonal skills, including a comfort level briefing to very senior and large audiences; strong organizational and planning skills, with a demonstrated ability to effectively lead and inspire high performance teams of technical staff in solving complex problems; a demonstrated ability to collaborate in technical activities, as evidenced by co-authorship of technical papers, presentations, proposals, and white papers with authors from other organizations; identify as a self-starter in practical initiation and execution of research projects; and holds the ability to work independently or as part of a multidisciplinary team and adapt to changing requirements. Candidate selected will be subject to a government security investigation.
You must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen. This is a one-year, fixed-term renewable appointment.
ARL is committed to diversity, equity, and inclusion; we believe this is central to our success as a Department of Defense designated University Affiliated Research Center (UARC). We are at our best when we draw on the talents of all parts of society, and our greatest accomplishments are achieved when diverse perspectives are part of our workforce.