R&D Engineer

Radiance is seeking an R&D Engineer who will continue advancement of infrared phenomenology and techniques. The candidate will support infrared sensor data analysis functions through the development and improvement of techniques and procedures for the Processing, Exploitation, and Dissemination (PED) of data from infrared sensors and other sensors as needed, as well as the development of missile and aircraft modeling and simulation capabilities that support physics-based signature estimation. The engineer in this position will work collaboratively with other engineers, scientists, and analysts to develop advanced intelligence analysis processes.

Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, interesting assignments, educational reimbursement, competitive salaries, and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.

Job Duties

Develop and implement algorithms associated with EO/IR/RF phenomenologies

Generate EO/IR/RF signatures using COTS and GOTS software packages

R&D on remotely sensed data to include both modeling of systems and development of analysis algorithms.

Provide input to test or analysis reports and briefings

Produce reports on algorithm and tool development/enhancement

Required Skills

Programming skills in at least one of the following languages Python, Matlab, C++

An engineering and mathematical background of systems and EO/IR/RF signature generation

Ability to work independently and in a team environment

Strong oral and written communication skills

Ability to obtain security clearance

Required Experience

BS in Physics, Engineering, or related discipline

Experience and understanding of EO/IR signature phenomenologies specific to passive remote sensing applications and missile/aircraft systems

Desired Qualifications

Active Top Secret Clearance

Thorough understanding of working in research, development, and data analysis environments

Background in mechanical/aerospace engineering and modeling tools a plus