OPIR Scientist

Radiance Technologies

113d

About The Position

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. In fact, Radiance is consistently named by the Dayton Business Journal as one of the Best Places to Work in Dayton! The Scientist will work side-by-side with clients, scientists, and engineers to: Operate, improve, optimize, and deploy scientific image processing and geospatial algorithms. Utilize advanced processing pipelines and other tools to analyze and exploit remotely sensed data to produce and disseminate products. Analyze and parse data in a variety of geospatial file formats and databases for machine learning and algorithm optimization, testing, and validation. Provide technical leadership to teams performing exploitation and process development. Create and deliver technical briefings and reports.

Requirements

• Bachelor’s Degree in STEM field (Electrical Engineering, Physics, Computer Engineering, Remote Sensing, or another relevant technical field)
• Understanding of signal and image processing techniques
• Active TS/SCI clearance

Nice To Haves

• Master’s or PhD degree in STEM field (Electrical Engineering, Physics, Computer Engineering, Remote Sensing, or another relevant technical field)
• Experience with image processing and exploitation as well as experience with docker and container deployment.
• Ability to develop processing chains that combine multiple programs and algorithms into efficient automation schemes.
• Ability to code/script in Python or C/C++.

Responsibilities

• Operate, improve, optimize, and deploy scientific image processing and geospatial algorithms.
• Utilize advanced processing pipelines and other tools to analyze and exploit remotely sensed data to produce and disseminate products.
• Analyze and parse data in a variety of geospatial file formats and databases for machine learning and algorithm optimization, testing, and validation.
• Provide technical leadership to teams performing exploitation and process development.
• Create and deliver technical briefings and reports.

Benefits

• Employee ownership
• Generous 401K
• Full health/dental/life/vision insurance benefits
• Educational reimbursement
• Competitive salaries
• Pleasant work environment

What This Job Offers

• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees