Algorithm Systems Engineer I (Onsite)

RTXIndependence, TX
Onsite

About The Position

Raytheon’s Naval Airborne Systems (NAS), a sub strategic business unit within Naval Power, seeks an Algorithm Systems Engineer I to provide technical algorithm support and analysis to several programs or Internal Research and Development (IRAD) efforts on the family of Advanced Sensor Programs. The position will reside in the Systems Engineering and Test Capabilities Center within the Airborne Surveillance RF department. This systems engineer will work amongst other Systems Engineers on-site and will support the chief engineer and lead systems engineer. This is an Entry Level Role onsite in Plano, TX.

Requirements

  • Bachelor’s Degree in Science, Technology, Engineering or Mathematics (STEM) obtained by start date
  • Experience in any of the following areas: Signal Processing Algorithms or Models, Image Processing Algorithms or Models, Detection Theory or Machine Learning
  • Experience with UNIX/Linux
  • Demonstrated computer programming skills in C or C++
  • Demonstrated computer programming skills using MATLAB or Python for data analysis
  • Experience may be obtained through on-the-job experience, research, coursework, or projects.
  • U.S. citizenship is required
  • Ability to obtain and maintain a U.S. government issued security clearance
  • Active and existing DoD Clearance: Top Secret security clearance required after day 1

Nice To Haves

  • Preferred majors: Computer Engineering, Electrical Engineering, Physics or Math (STEM)
  • Strong mathematical modeling and problem-solving abilities
  • Experience developing signal processing algorithms for airborne surveillance applications, signal & image processing, digital communications, detection and estimation theory, or AI/ML and training techniques
  • Experience with Real-time Programming
  • Experience with software change management tools and processes
  • Current Department of War Secret or Top-Secret Clearance
  • Prior internship, co-op, or work experience

Responsibilities

  • Performance analysis
  • Algorithm development
  • Algorithm analysis
  • Trade study generation
  • Statistical modeling
  • Performance processing and predictions
  • Data analysis for complex systems using Raytheon Engineering processes and practices
  • Participating in peer reviews
  • Resolving identified technical problems
  • Interfacing with team lead, team members, and related engineers on a daily basis
  • Conducting or participating in customer and/or program presentations
  • Providing task progress status updates and work products to the team lead

Benefits

  • medical
  • dental
  • vision
  • life insurance
  • short-term disability
  • long-term disability
  • 401(k) match
  • flexible spending accounts
  • flexible work schedules
  • employee assistance program
  • Employee Scholar Program
  • parental leave
  • paid time off
  • holidays
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service