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Temporary 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 ...

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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Temporary Signal Processing Research Scientist information

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$50.5K

$130.1K

$174K

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

As of Jul 5, 2026, the average yearly pay for temporary 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 a Temporary Signal Processing Research Scientist, and why are they important?

To thrive as a Temporary Signal Processing Research Scientist, you typically need an advanced degree in electrical engineering, computer science, or a related field with a strong background in signal processing theory and algorithms. Familiarity with MATLAB, Python, and specialized signal processing libraries, along with experience in simulation and data analysis tools, is usually required. Strong analytical thinking, problem-solving skills, and the ability to communicate complex findings clearly are valuable soft skills in this role. These competencies are crucial for developing innovative solutions, producing rigorous research outputs, and collaborating effectively in a temporary, project-driven research environment.

What does a Temporary Signal Processing Research Scientist do?

A Temporary Signal Processing Research Scientist is responsible for conducting research and development in the field of signal processing, often for a specific project or limited period. Their work involves designing and implementing algorithms to analyze, interpret, and manipulate signals such as audio, images, or sensor data. These scientists collaborate with engineers and other researchers to solve complex problems, validate models, and contribute to publications or patents. As a temporary position, the role typically focuses on achieving specific research objectives within a set timeframe.

What are the typical projects and collaborative dynamics for a Temporary Signal Processing Research Scientist?

As a Temporary Signal Processing Research Scientist, you may work on short-term, high-impact research projects such as developing new algorithms for data analysis, improving signal filtering techniques, or prototyping real-time signal processing systems. Collaboration is key in this role; you’ll often partner with engineers, software developers, and other scientists to share findings and integrate solutions into larger systems. The work environment is typically fast-paced and project-based, requiring adaptability and strong communication skills. Temporary roles can also offer exposure to cutting-edge research and the opportunity to build relationships with leading experts in the field.

What is the difference between Temporary Signal Processing Research Scientist vs Temporary Communications Research Scientist?

AspectTemporary Signal Processing Research ScientistTemporary Communications Research Scientist
Required CredentialsMaster's or Ph.D. in Electrical Engineering, Signal Processing, or related fieldsMaster's or Ph.D. in Electrical Engineering, Communications, or related fields
Work EnvironmentResearch labs, tech companies, universitiesResearch labs, telecom companies, universities
Industry UsageFocuses on signal algorithms, filtering, and analysisFocuses on communication systems, protocols, and network performance

Temporary Signal Processing Research Scientists and Temporary Communications Research Scientists share similar educational backgrounds and work environments. However, their focus areas differ: the former specializes in signal algorithms and analysis, while the latter concentrates on communication systems and network protocols. Both roles are essential in tech and research industries, often overlapping but distinct in their core responsibilities.

What cities are hiring for Temporary Signal Processing Research Scientist jobs? Cities with the most Temporary 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 Temporary Signal Processing Research Scientist jobs? States with the most job openings for Temporary 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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