Principal Engineer, Research (Onsite)

The Raytheon Intelligence & Space (RI&S) Data Science and Technologies (DS&T) group leads interdisciplinary applied research and development (R&D) for all of RI&S. R&D efforts span fundamental research, concept development, trade studies and rapid prototyping for customized engineering products and services.

Raytheon seeks to fill technical positions in the Sensor Processing and Exploitation group based in Richardson, TX and Dulles, VA.  Successful candidates will have demonstrated experience working in a fast paced, team-oriented environment developing new technology for advanced, automated Geospatial Intelligence (GEOINT) applications. New, innovative prototypes automatically extract meaningful information from remote sensing data. The team develops new prototypes (detection algorithms, machine learning models, etc.) to solve challenging problems for customers across the department of defense (DoD) intelligence community (IC). Successful prototypes are matured and transitioned for operational use on programs. The candidate should be a self-starter and able to succeed as an individual, working on a small team or leading a small team.  Good communication skills are necessary for creating and giving technical presentations to peers, business leadership, and customers. Strong foundation in math, physics, engineering, computer vision, or data science is required for this position.

Required Skills:

• Must be a US Citizen with the ability to obtain and maintain a TS/SCI Security Clearance

• Bachelor’s Degree in Science, Technology, Engineering, Mathematics (STEM) or Physics, Photogrammetry, Computer Vision, Data Science and a minimum of 5 years of prior relevant experience

• Research and development experience (can be from post graduate work or education) in two or more of the following areas: 3D modeling, passive electro-optical sensing phenomenology (Panchromatic/Multispectral/Hyperspectral/Motion Imagery), active sensing (LiDAR and Synthetic Aperture Radar), sensor calibration, atmospheric modeling, radiometry, photogrammetry, computer vision, and artificial intelligence (machine learning / deep learning).

• Strong technical written and oral communication skills

• Strong background in math, physics, engineering, computer vision, or data science

• Development experience within Linux operating systems

Desired Skills:

• Advanced Degree in Science, Technology, Engineering, Mathematics (STEM) or Physics, Photogrammetry, Computer Vision, Data Science

• Research and development experience (can be from post graduate work or education) in several of the following areas: 3D modeling, passive electro-optical sensing phenomenology (Panchromatic/Multispectral/Hyperspectral/Motion Imagery), active sensing (LiDAR and Synthetic Aperture Radar), sensor calibration, atmospheric modeling, radiometry, computer vision, and artificial intelligence (machine learning / deep learning).

• Strong software and algorithm development skills in languages such as Python, Matlab, Java, C++

• Cloud deployment experience of fielding algorithms and applications in containerized environments

• Prior or current/active TS/SCI Security Clearance

Required Education (including Major):

• Bachelor’s Degree in Science, Technology, Engineering, Mathematics (STEM) or Physics, Photogrammetry, Computer Vision, Data Science

• M.S. or Ph.D. preferred

Relocation assistance available provided final candidate meets eligibility requirements

Employee Referral Award Eligibility: Only employees currently within RMD and RI&S have the potential to receive a Referral Award for submitting a referral to RMD and RI&S roles. ALL eligibility requirements must be met to receive the Referral Awarding.

Raytheon Technologies is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.