Principle Engineer, Data Analytic Methods (Onsite)

Date Posted:

2026-07-06



Country:

United States of America



Location:

US-VA-DULLES-710 ~ 22110 Pacific Blvd ~ BLDG 10



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:

TS/SCI with Polygraph



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 brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense.

Raytheon is seeking an experienced Electrical or Computer Engineer to grow our work in advanced data analytics specifically towards Intelligence, Surveillance, and Reconnaissance applications. Successful applicants should demonstrate the ability to work in small teams, develop training curriculums, and help grow early career engineers in Artificial Intelligence, Machine Learning, Probabilistic/Stochastic, and advanced signal processing topics.

What You Will Do

• Guide our AI/ML development program to grow AI/ML skills in our engineering workforce. Academic credentials/experience required in instruction of engineering or computer science related topics to help develop and curate AI/ML training curriculum.

• Develop, oversee, and collaborate on Intelligence, Surveillance, and Reconnaissance methods across multiple observable types: imagery, radar, and radio frequency data. Apply statistical and AI/ML methods to ISR problems.

• Develop models of payload models based on knowledge of radio frequency hardware and computer hardware (BSEE/Computer Engineering background desired).

What You Will Learn

• Candidate will grow their object discrimination and probabilistic reasoning skills applied to data sets.

• Candidate will learn about modeling various observable phenomena such as radio emissions and link budgets to guide discrimination and identification approaches.

Qualifications You Must Have

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience unless prohibited by local laws/regulations.

• Signal Processing

• Stochastic Methods or Probabilistic Modeling etc

• AI/ML Application experience in Radio Signal Classification or similar

• The ability to obtain and maintain a U.S. government issued Top Secret SCI security clearance is required after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer

• Curriculum development (academic or in industry)

• Programming Language Experience in Python, C++ and Java

• High performance computing

• Advanced Degree Preferred

• Demonstrated academic instruction background (Lecturer/Graduate Teaching Assistant)

Learn More & Apply Now

• Clearance Information: This position requires 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: https://www.state.gov/m/ds/clearances/c10978.htm

• 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. #LI-RH2

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 118,300 USD - 224,900 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.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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