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Biomedical Signal Processing Engineer Jobs in Texas

Cymertek

Signals Software Engineer

San Antonio, TX · On-site

Signals Software Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... The ideal candidate has a strong foundation in signal processing concepts, is proficient in ...

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Biomedical Signal Processing Engineer information

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$49.8K

$122.4K

$180.3K

How much do biomedical signal processing engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for biomedical signal processing engineer in Texas is $122,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,100.00 and $137,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Biomedical Signal Processing Engineer, you need a strong background in biomedical engineering, electrical engineering, or a related field, with expertise in digital signal processing and data analysis. Familiarity with MATLAB, Python, LabVIEW, and signal processing toolboxes, as well as knowledge of medical device regulations and standards, is highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills are also essential. These competencies enable engineers to accurately interpret complex biological data, develop innovative healthcare solutions, and collaborate successfully with multidisciplinary teams.

What does a Biomedical Signal Processing Engineer do?

A Biomedical Signal Processing Engineer develops algorithms and techniques to analyze physiological signals such as ECG, EEG, and EMG. They apply signal processing methods to extract meaningful information for medical diagnostics, device development, and healthcare applications. Their work involves filtering noise, detecting patterns, and enhancing signal quality to improve medical decision-making. They often collaborate with clinicians, data scientists, and hardware engineers to create innovative healthcare technologies.

What are the typical daily responsibilities of a Biomedical Signal Processing Engineer?

A Biomedical Signal Processing Engineer typically spends their day analyzing physiological signals (such as ECG, EEG, or EMG), designing and implementing algorithms for data processing, and validating results against clinical benchmarks. They often work closely with clinicians, data scientists, and software developers to integrate signal processing solutions into medical devices or healthcare platforms. The role also involves troubleshooting data irregularities, documenting findings, and staying up-to-date with the latest advancements in biomedical technologies. Collaboration and iterative problem solving are common, making teamwork and adaptability crucial parts of the job.

What are the most commonly searched types of Biomedical Signal Processing Engineer jobs in Texas? The most popular types of Biomedical Signal Processing Engineer jobs in Texas are:
What are popular job titles related to Biomedical Signal Processing Engineer jobs in Texas? For Biomedical Signal Processing Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Biomedical Signal Processing Engineer jobs in Texas look for? The top searched job categories for Biomedical Signal Processing Engineer jobs in Texas are:
Biomedical Signal Processing Engineer jobs near you
Infographic showing various Biomedical Signal Processing Engineer job openings in Texas as of June 2026, with employment types broken down into 94% Full Time, 4% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $122,372 per year, or $58.8 per hour.
LEAD ENGINEER - SR. RESEARCH ENGINEER - Signal Processing Engineer

LEAD ENGINEER - SR. RESEARCH ENGINEER - Signal Processing Engineer

Southwest Research Institute - Fulltime

San Antonio, TX • On-site

Full-time

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

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 57 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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