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Signal Processing Research Jobs (NOW HIRING)

... research. We mature these technologies with the objective of implementation, integration, and eventual utility in RF-based systems, typically tailoring our work for highly specific Defense (e.g., Air ...

... research. We mature these technologies with the objective of implementation, integration, and eventual utility in RF-based systems, typically tailoring our work for highly specific Defense (e.g., Air ...

The position We're looking for a Signal Processing Engineer to join our algorithm and development ... Familiarity with DevOps practices for reproducible research (experiment tracking, data versioning)

... research. We mature these technologies with the objective of implementation, integration, and eventual utility in RF-based systems, typically tailoring our work for highly specific Defense (e.g., Air ...

... research. We mature these technologies with the objective of implementation, integration, and eventual utility in RF-based systems, typically tailoring our work for highly specific Defense (e.g., Air ...

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Signal Processing Research information

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$53.5K

$131.3K

$193.5K

How much do signal processing research jobs pay per year?

As of Jun 8, 2026, the average yearly pay for signal processing research in the United States is $131,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in Signal Processing Research, and how can they be addressed?

Professionals in Signal Processing Research often encounter challenges such as managing large datasets, staying updated with rapidly evolving algorithms, and integrating theoretical developments into practical applications. Collaboration with multidisciplinary teams is key, as projects frequently require input from hardware engineers, software developers, and domain experts. To address these challenges, researchers should prioritize continuous learning, actively participate in conferences and workshops, and engage in cross-functional teamwork to bridge the gap between theory and real-world implementation.

What is signal processing research?

Signal processing research involves the study and development of methods to analyze, modify, and interpret signals such as sound, images, and scientific measurements. Researchers in this field work on designing algorithms and systems for filtering, compressing, and extracting meaningful information from raw data. The applications of signal processing research are vast and include areas like telecommunications, medical imaging, audio and speech recognition, and radar systems. The goal is often to improve the efficiency, accuracy, and capabilities of signal-related technologies.

What are the key skills and qualifications needed to thrive in Signal Processing Research, and why are they important?

To thrive in Signal Processing Research, you need a solid background in mathematics, engineering, and statistical analysis, typically supported by an advanced degree in electrical engineering or a related field. Familiarity with programming languages such as MATLAB or Python, as well as experience with digital signal processing (DSP) tools and machine learning frameworks, is highly valuable. Strong analytical thinking, problem-solving abilities, and effective collaboration skills help researchers innovate and communicate complex concepts. These capabilities are essential for pushing the boundaries of technology and developing novel solutions in signal processing applications.

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

AspectSignal Processing ResearchSignal Processing Engineer
Required CredentialsAdvanced degrees (Master's/Ph.D.), research experienceBachelor's or Master's in Electrical Engineering or related field
Work EnvironmentResearch labs, academic institutions, R&D departmentsIndustry settings, product development teams, telecommunications, consumer electronics
Employer & Industry UsageUniversities, research institutes, tech companiesTech firms, telecom companies, hardware manufacturers
Common Search & Comparison IntentUnderstanding research roles, academic careersDesigning and implementing signal processing solutions

Signal Processing Research focuses on developing new algorithms and theories, often within academic or R&D environments, requiring advanced degrees. Signal Processing Engineers apply these principles in industry to create practical systems and products, typically with a bachelor's or master's degree. Both roles are integral to advancing communication and electronic technologies but differ mainly in their focus on research versus application.

More about Signal Processing Research jobs
What are the most commonly searched types of Signal Processing Research jobs? The most popular types of Signal Processing Research jobs are:
What states have the most Signal Processing Research jobs? States with the most job openings for Signal Processing Research jobs include:
Infographic showing various Signal Processing Research job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $131,349 per year, or $63.1 per hour.
LEAD ENGINEER - SR. RESEARCH ENGINEER - Signal Processing Engineer

LEAD ENGINEER - SR. RESEARCH ENGINEER - Signal Processing Engineer

Southwest Research Institute - Fulltime

Macdona, TX

Full-time

Posted 5 days ago


Southwest Research Institute rating

8.8

Company rating: 8.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

6th of 56 rated research


Job description

Who We Are: Ongoing threats to national security require timely intelligence data, including signal intelligence obtained through electronic surveillance. Since the 1940s, SwRI has supported U.S. and friendly foreign governments, as well as commercial clients.

While a non-profit research institution, SwRI develops state of the art solutions to real problems. Objectives of this Role: Work with multidisciplinary team of engineers, software developers, and technicians in the execution of R&D, design, and testing systems and software in support of national security. Design, develop, integrate, test and deploy new signal processing capabilities in the areas of energy detection, channelization, signal recognition, signal demodulation/decoding & encoding/modulating, RF geolocation and electronic warfare.

Simulate and develop radar signal processing algorithms for blind radar detection and parameterization in a complex propagation and environment (HF ionospheric propagation channels). Simulate HF propagation using advanced tools for predicting signal effects due to multi-path and scattering to evaluate algorithm performance with realistic data. Daily and Monthly Responsibilities: Collaborate with client technical representatives and SwRI senior engineering and software staff to develop algorithms and write software and scripts for signal processing applications and to test software and related systems.

Work at SwRI laboratories and support short-term travel to government facilities/military bases or other customer facilities for system installations and to provide technical support within and outside the United States. Present progress and findings to your project teams and clients. Prepare technical documents and support proposal preparation as required.

Requirements: Requires a Masters or a PhD in Electrical Engineering, Electrical and Computer Engineering or Computer Engineering. 3-7 years: Applicants with PhD qualify with 3 years and those with a Masters qualify with 7 years work experience in signal processing with understanding of radar system concepts and waveforms. Experience with C/C++ and Python are required.

Over-the-horizon radar (OTHR) or ionospheric sounder processing experience desired. Communications signal processing desired. Linux and MATLAB proficiency are desired.

Coursework and/or research experience with application of machine learning to signal processing is strongly desired. A valid/clear driver's license is required.


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