1

Raytheon Rf Engineer Jobs in Virginia (NOW HIRING)

next page

Showing results 1-20

Raytheon Rf Engineer information

See Virginia salary details

$36.7K

$116.7K

$181.4K

How much do raytheon rf engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for raytheon rf engineer in Virginia is $116,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $137,800.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can I expect as an RF Engineer at Raytheon?

As an RF Engineer at Raytheon, you can expect to work on cutting-edge projects involving radar systems, communications equipment, and electronic warfare technologies. Your daily responsibilities might include designing, simulating, and testing RF circuits and subsystems, troubleshooting performance issues, and supporting integration efforts with larger system teams. You’ll collaborate closely with engineers from other disciplines, such as digital, mechanical, and systems engineering, to ensure seamless functionality across the entire product. This role often balances hands-on laboratory work with computer-based simulations, providing a dynamic and intellectually stimulating environment.

What is a Raytheon RF Engineer job?

A Raytheon RF Engineer is responsible for designing, developing, and testing radio frequency (RF) systems and components used in defense and aerospace applications. They work on technologies such as radar, communication systems, and electronic warfare, ensuring high performance and reliability. Their role includes circuit design, simulation, prototyping, and validation, often collaborating with cross-functional teams. RF Engineers at Raytheon typically utilize advanced modeling tools and test equipment to optimize system performance. Security clearances may be required depending on the project.

What are the key skills and qualifications needed to thrive in the Raytheon Rf Engineer position, and why are they important?

To thrive as a Raytheon RF Engineer, you need a solid background in radio frequency engineering, electromagnetic theory, and circuit design, typically supported by a degree in electrical engineering or a related field. Experience with RF simulation tools (such as HFSS, CST, ADS), test equipment (like spectrum analyzers and network analyzers), and relevant certifications (such as a security clearance) is often required. Strong problem-solving skills, effective communication, and the ability to work collaboratively on multidisciplinary teams are essential soft skills in this role. These skills are critical for designing, testing, and optimizing complex RF systems that meet rigorous defense and aerospace standards.

What job categories do people searching Raytheon Rf Engineer jobs in Virginia look for? The top searched job categories for Raytheon Rf Engineer jobs in Virginia are:
Infographic showing various Raytheon Rf Engineer job openings in Virginia as of June 2026, with employment types broken down into 69% Full Time, 4% Part Time, and 27% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $116,671 per year, or $56.1 per hour.
Principal Research Scientist: Signal Processing

Principal Research Scientist: Signal Processing

Raytheon Technologies

Arlington, VA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Date Posted:

2026-06-17

Country:

United States of America

Location:

US-VA-ARLINGTON-111 ~ 1300 17Th St N ~ BBN ARLINGTON

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Active and transferable U.S. government issued security clearance is required prior to start date. 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 on day 1

RTX BBN solves challenging problems of high importance to our customers in the Department of Defense, the Intelligence Community and Industry by rapidly prototyping systems for sensing complex physical phenomena, correlating them to events of interest, and producing high-value, actionable information from the sensed data. The team specializes in delivering networked sensor system solutions by combining a strong understanding of the underlying physics, high-fidelity modeling, simulation of complex signatures and propagation phenomenology, deep expertise in signal processing, EM and RF phenomenology, and computer science, proven capabilities in system development, and mature tools to enable rapid design cycles from theory to demonstration. We are currently searching for a highly qualified Signal Processing Research Scientist to join our team in Arlington, VA.

Role Overview:

RTX BBN solves challenging problems of high importance to our customers in the Department of Defense, the Intelligence Community and Industry by rapidly prototyping systems for sensing complex physical phenomena, correlating them to events of interest, and producing high-value, actionable information from the sensed data. The team specializes in delivering networked sensor system solutions by combining a strong understanding of the underlying physics, high-fidelity modeling, simulation of complex signatures and propagation phenomenology, deep expertise in signal processing, EM and RF phenomenology, and computer science, proven capabilities in system development, and mature tools to enable rapid design cycles from theory to demonstration. We are currently searching for a highly qualified Signal Processing Research Scientist to join our team in Arlington, VA.

What You Will Do:

Statistical signal processing:

  • Estimation techniques including Bayesian and non-Bayesian estimators, performance measures such as bias and mean-square error and bounds on estimator performance such as the Cramer-Rao lower bound.
  • Detection techniques including the Neyman-Pearson detection, probabilities of detection and false alarm, receiver operating curves, etc.

Cyclostationary signal processing:

  • CAF, SCF, SOF estimation.
  • Computation of Cyclic Cumulants.
  • Cyclic Feature Detection.

Adaptive signal processing:

  • Temporal and space-time adaptive processing.
  • Interference covariance estimation techniques including both structured and reduced-rank techniques.
  • Wiener filtering and on-line adaptive techniques such as LMS and RLS.
  • Kalman filtering, particle filtering, and multi-hypothesis tracking.
  • Machine learning and optimization for optimal control.

RF propagation and signature modeling:

  • Link budgets, terrestrial and free-space propagation models, multipath, non-stationary propagation environments (Doppler spread), clock stability and phase noise, and target kinematics.
  • Antenna pattern estimation.
  • Estimation of bistatic RCS.

Sensing:

  • Sparse array processing, beamforming, direction finding, filtering and tracking.
  • Range-Doppler radar and synthetic aperture radar (SAR).
  • Signal classification and recognition.

Physical-layer communications:

  • Modulation techniques and tradeoffs, channel estimation and tracking, MIMO communications, equalization, forward error correction and decoding.
  • LPX waveform design.
  • Multi-user detection.


Qualifications You Must Have:

  • M.S. in Electrical Engineering, Mathematics, or Physics plus 5+ years of relevant experience, or Ph.D. plus 3+ years experience.
  • Experience with signal processing, including estimation, detection, etc.
  • Experience with RF modeling and sensing.
  • Active Top Secret government security clearance

Qualifications We Prefer:

  • Position may require some overnight travel.
  • Experience applying advanced methods, theories, and R&D techniques to solve difficult problems.
  • Skillset to tackle research challenges proactively with minimal supervision and periodic check-ins with team leads.
  • Experience leading small teams of technical contributors.
  • Experience documenting plans and scientific findings with opportunities to present to government customers.

Learn More & Apply Now!
Work Location: Onsite- Alrington, VA
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

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attendselect 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.

Privacy Policy and Terms:

Click on this link to read the Policy and Terms