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RTXPosted 2 weeks ago

EO/IR Principal Systems Engineer

$107,500–$204,500 year

On-sitePlano, Texas, United States

Full TimeSenior LevelBachelors DegreeEnterpriseAEROSPACE

Job Summary

Apply advanced EO/IR sensor and mode performance knowledge to guide new sensor designs in collaboration with hardware and systems engineering teams. Utilize software development skills to create and implement new mode algorithms on advanced processing platforms while providing technical leadership to a small team of algorithm and modeling analysts. Perform performance analysis, algorithm development, evaluation, trade studies, statistical modeling, and data analysis for complex systems using Raytheon engineering processes and standards. Offer SME-level guidance and mentorship to junior engineers within the EO/IR group through interpersonal interactions, presentations, and written communication. This role resides in the Systems Engineering and Test Capabilities Center within the Airborne Surveillance RF department at Raytheon's Naval Airborne Systems unit.

Required Qualifications

  • Active and transferable U.S. government issued security clearance is required prior to start date
  • U.S. citizenship is required
  • Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date
  • Typically requires a bachelor's degree in Science, Technology, Engineering or Mathematics (STEM)
  • Minimum of 8 years of relevant work or academic experience in optical design and algorithm development
  • Imaging EO/IR systems, physics, image signal processing, or discrimination algorithms
  • UNIX/Linux and demonstrated computer programming skills in C or C++
  • Using MATLAB or Python for data analysis
  • Ability to obtain and maintain a U.S. government issued security clearance prior to start date

Desired Qualifications

  • Active Top-Secret clearance with investigation within five years
  • Advanced degree in Science, Technology, Engineering or Mathematics (STEM)
  • Experience developing signal processing algorithms for airborne surveillance application
  • Background in signal and image processing, digital communications, detection and estimation theory, or AI/ML and training techniques
  • Real-time programming, software change management tools, and processes
  • Mathematical modeling and analytical problem-solving
  • Ability to lead and manage a small technical team of three or more individuals

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