Senior Algorithm Systems Engineer

Date Posted:

2026-05-13

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: Secret

Security Clearance Status:

Active and existing security clearance required after day 1

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Raytheon is seeking a seeking a Senior Algorithm Systems Engineer to support advanced aerospace sensor programs. You will provide technical expertise and leadership across multiple programs and Internal Research and Development (IRAD) efforts within Advanced Sensor Programs. This position is part of the Systems Engineering and Test Capabilities Center in the Airborne Surveillance RF organization. This is an onsite role in Plano, TX.

What You Will Do

Perform system level performance analysis to evaluate and optimize advanced airborne sensor capabilities

Develop, refine, and analyze algorithms to support mission-critical aerospace applications

Conduct trade studies to compare technical approaches and guide engineering decisions

Build statistical models and performance predictions for complex, multidisciplinary systems

Execute detailed data analyses following Raytheon engineering processes and best practices

Participate in formal and informal peer reviews; identify, track, and resolve technical issues

Provide clear, timely task status updates and deliver high quality work products to the chief engineer

Interface daily with engineering teammates, other team leads, and cross-functional partners to ensure technical alignment

Support customer and program presentations by contributing technical content and insights

Collaborate with both internal teams and external stakeholders to drive successful program outcomes

Qualifications You Must Have

Typically requires at least a Bachelor’s degree in Science, Technology, Engineering or Mathematics (STEM) discipline and a minimum of 5 years of relevant experience in one or more of the following areas: Signal Processing Algorithms or Models, Image Processing Algorithms or Models, Detection Theory or Machine Learning.

Knowledge developing and implementing signal processing algorithms for airborne surveillance applications, including signal and image processing, physics-constrained modeling, digital communications, or detection and estimation theory.

Experience in UNIX/Linux environments. Programming experience in C or C++, and hands on experience using MATLAB or Python for data analysis

Active and transferable U.S. government issued DoD Secret security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Qualifications We Prefer

Active DoD Top Secret clearance

Advanced degree in Science, Technology, Engineering or Mathematics (STEM preferred)

Mathematical modeling and analytical problem-solving skills

Experience using software change management tools, version control systems, and established software development processes

Realtime programming for embedded or mission critical systems

What We Offer:

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

Relocation Eligible – relocation assistance available for this position

Please consider the following role type definition as you apply for this role.

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.

McKinney, Texas: Raytheon North Texas Location

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 86,800 USD - 165,200 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 work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.