Algorithm Systems Engineer II (Onsite)

RTX (Raytheon); Plano (TX); On-site; USD 69,000 - 131,000; Full time

Benefits offered by this job

Relocation eligible

Job summary

RTX's Naval Airborne Systems in Plano, TX seeks an Algorithm Systems Engineer I to provide technical algorithm support and analysis across programs and IRAD efforts within the Advanced Sensor Programs family. The role is an entry-level onsite position based in Plano, collaborating with engineers and participating in peer reviews.

The candidate will perform performance analysis, algorithm development, and data analysis using Raytheon processes, interfacing with the team lead and delivering

Qualifications

• Master's Degree in Science, Technology, Engineering or Mathematics (STEM) obtained by start date.
• Experience in Signal Processing Algorithms or Models, Image Processing Algorithms or Models, Detection Theory or Machine Learning
• Experience with UNIX/Linux and demonstrated programming skills in C or C++ and using MATLAB or Python for data analysis
• Experience may be obtained through on-the-job experience, research, coursework, or projects.

Responsibilities

• Performance analysis, algorithm development for complex systems.
• Participation in peer reviews and resolving identified technical problems.
• Interface with team lead and engineers; provide task progress status and work products.

Skills

Signal Processing

Image Processing

Detection Theory

Machine Learning

C/C++

UNIX/Linux

MATLAB

Python

Education

Master's Degree in STEM

Tools

UNIX/Linux

MATLAB

Python

Job description

Employment Details

Date Posted: 2026-09-15

Country: United States of America

Location: US-TX-PLANO-465 ~ 465 Independence Pkwy ~ INDEPENDENCE

Position Role Type: Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Security Clearance Type: DoD Clearance: Top Secret

Security Clearance Status: Active and existing security clearance required after day 1

Introduction

Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX.

Job Summary

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

What You Will Do:

Specific duties may include performance analysis, algorithm development, algorithm analysis, trade study generation, statistical modeling, performance processing and predictions, and data analysis for complex systems using Raytheon Engineering processes and practices.

Related day-to-day duties include participating in peer reviews and resolving identified technical problems.

This individual will interface with their team lead, team members, and related engineers on a daily basis, conduct or participate in customer and/or program presentations, and provide task progress status updates and work products to the team lead.

Qualifications You Must Have:

• Master'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 and demonstrated computer programming skills in C or C++ and using MATLAB or Python for data analysis


• Experience may be obtained through on-the-job experience, research, coursework, or projects.

Qualifications We Prefer:

• 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, software change management tools and processes.


• Current Department of War Secret or Top-Secret Clearance


• Prior internship, co-op, or work experience

What We Offer:

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation.

Relocation eligible

Additional Information:

Onsite : Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

This position requires ability to obtain a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Security Clearance FAQs - United States Department of State

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 68,900 USD - 131,100 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible