Job Description A well-known Government supporting company is seeking a Radar Engineer to sit onsite in Dayton OH. This person is going to be joining a team of 4 as a direct hire employee and will be supporting NASIC and AFRL customers within the radar imagery space with a focus on SAR. They will be collaborating with other scientists and researchers to help further the research of this work, support SAR image formation processors, radar physics, and SAR image quality analysis. They will get the opportunity to further their experience with signal processing, radar phenomenology analysis for both airborne and space systems as well as have the opportunity to collaborate with different customers. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 8+ years as a Radar Engineer Active Top Secret Security Clearance Strong RF knowledge & experience Experience with developing SAR Image Formation Processor M.S. in Electrical Engineering, Mathematics, Physics or related disciplines Understanding of statistical analysis techniques Experience in developing RF, ES, and EA algorithms Familiarity with geospatial information and RF spectrum operations