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Internship Signal Processing Research Scientist Jobs

ARL's purpose is to research and develop innovative solutions to challenging scientific ... SADM tackles multidisciplinary topics from signal processing to machine learning to software design ...

$121K - $231K/yr

POSITION SPECIFICS We are searching for a motivated and talented Signal Processing Research and Development Engineer to join the Acoustic Data Science Department at the Applied Research Laboratory ...

Engineering: controls, estimation theory, digital signal processing, and machine learning ... A Research Scientist should have effective written and verbal communication skills, with the ...

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Internship Signal Processing Research Scientist information

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$50.5K

$130.1K

$174K

How much do internship signal processing research scientist jobs pay per year?

As of Jul 6, 2026, the average yearly pay for internship signal processing research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Signal Processing Research Scientist, and why are they important?

To thrive as an Internship Signal Processing Research Scientist, you generally need a solid background in mathematics, signal processing theory, and programming, often supported by coursework or research experience in electrical engineering or a related field. Familiarity with technical tools such as MATLAB, Python, and signal analysis libraries, as well as experience using simulation or data acquisition systems, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns stand out when collaborating with research teams and presenting findings. These skills and qualities are crucial for developing innovative solutions and advancing research objectives in signal processing projects.

What is the difference between Internship Signal Processing Research Scientist vs Signal Processing Engineer?

AspectInternship Signal Processing Research ScientistSignal Processing Engineer
CredentialsTypically pursuing or holding a relevant degree (e.g., Electrical Engineering, Computer Science)Bachelor's or Master's in Electrical Engineering, Computer Science, or related field
Work EnvironmentResearch labs, academic settings, or R&D departments within tech companiesDesign, develop, and implement signal processing algorithms in industry settings
Industry UsagePrimarily in research projects, academic collaborations, or early-stage product developmentProduct development, system optimization, and deployment in commercial products

While both roles involve signal processing concepts, an Internship Signal Processing Research Scientist focuses on research and experimentation during an internship, often in academic or R&D environments. In contrast, a Signal Processing Engineer applies these skills in product development and system implementation within industry settings.

What types of projects or research topics can an Internship Signal Processing Research Scientist expect to work on?

As an Internship Signal Processing Research Scientist, you will likely be involved in projects such as developing algorithms for audio, image, or sensor data analysis, implementing machine learning techniques for signal enhancement, and supporting senior researchers with experimental design and data interpretation. Depending on the organization's focus, you may also contribute to real-time signal processing systems or simulation studies. Collaboration with multidisciplinary teams—including hardware engineers, data scientists, and software developers—is common, providing valuable exposure to both theoretical and applied aspects of signal processing.

What does an Internship Signal Processing Research Scientist do?

An Internship Signal Processing Research Scientist assists in the development, analysis, and implementation of algorithms that process signals such as audio, images, or sensor data. Interns typically support senior researchers by conducting experiments, analyzing data, and developing prototypes. They use mathematical and computational tools to extract meaningful information from raw signals, often applying their work to fields like telecommunications, medical imaging, or audio processing. The internship provides hands-on experience with real-world signal processing challenges while contributing to ongoing research projects.
What cities are hiring for Internship Signal Processing Research Scientist jobs? Cities with the most Internship Signal Processing Research Scientist job openings:
What are the most commonly searched types of Signal Processing Research Scientist jobs? The most popular types of Signal Processing Research Scientist jobs are:
What states have the most Internship Signal Processing Research Scientist jobs? States with the most job openings for Internship Signal Processing Research Scientist jobs include:
Principal Research Scientist: Signal Processing

Principal Research Scientist: Signal Processing

Raytheon Technologies

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


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 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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