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Biomedical Signal Processing Engineer Jobs in Colorado

Signals Analyst

Aurora, CO · On-site

$97K - $180K/yr

... signal processing Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on ... Degrees must be in Engineering, Mathematics, Computer Science, a Physical Science, or a related ...

Signals Analyst 3

Aurora, CO · On-site

$12K - $190K/yr

... signal processing Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on ... Degrees must be in Engineering, Mathematics, Computer Science, a Physical Science, or a related ...

... Signals Data Engineer, Embedded Systems Developer, Intelligence Application Developer, Full Stack Developer, Backend Developer, Data Processing Engineer, etc. DEGREE (Level Desired) Bachelor's Degree ...

GNSS DSP Engineer

Louisville, CO · On-site

$149K - $174K/yr

Responsibilities Overview As a GNSS DSP Engineer, you will be a key technical contributor to OSS ... Drive the implementation of signal processing for spaceborne GNSS remote sensing applications ...

FPGA Engineer

Englewood, CO · On-site

$130K - $165K/yr

FPGA Engineer Position Description : Protingent Staffing has an exciting direct hire FPGA Engineer ... Experience with signal processing functions and mixed-signal systems. * Hands on experience with ...

Self-motivated individual seeking a learning environment and challenging assignments developing state of the art signal processing algorithms and applications * Algorithm development involving ...

Self-motivated individual seeking a learning environment and challenging assignments developing state of the art signal processing algorithms and applications * Algorithm development involving ...

Electrical Engineer

Littleton, CO · On-site

$80K - $150K/yr

Electrical Engineer Requisition ID: 1778 Position Location: Littleton, CO Position Reports To ... FPGA / signal processing PCAs with tightly coupled memory interfaces o High-speed (Gsps) data ...

Showing results 41-60

Biomedical Signal Processing Engineer information

See Colorado salary details

$56.3K

$138.1K

$203.5K

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

As of Jul 24, 2026, the average yearly pay for biomedical signal processing engineer in Colorado is $138,115.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $155,100.00 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 Colorado? The most popular types of Biomedical Signal Processing Engineer jobs in Colorado are:
What are popular job titles related to Biomedical Signal Processing Engineer jobs in Colorado? For Biomedical Signal Processing Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Biomedical Signal Processing Engineer jobs in Colorado look for? The top searched job categories for Biomedical Signal Processing Engineer jobs in Colorado are:
Infographic showing various Biomedical Signal Processing Engineer job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $138,115 per year, or $66.4 per hour.
NIST PREP Postdoc Associate, Inverse Problems and Signal Processing for Thermoreflectance Measuremen

NIST PREP Postdoc Associate, Inverse Problems and Signal Processing for Thermoreflectance Measuremen

Southeastern Universities Research Association

Boulder, CO • On-site

$68K - $93K/yr

Full-time

Posted 12 days ago


Job description

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research title: Inverse Problems and Signal Processing for Thermoreflectance Measurements
The work will entail:This postdoctoral position entails developing new analysis techniques and inversion methods related to the thermal properties of computing devices, as probed with through thermoreflectance imaging. The position requires basic knowledge of classical and/or data-driven inverse problems, familiarity with mathematical modeling with differential or integral equations, and experience applying statistical methods to datasets of measured data. Additionally, the applicant should have experience with basic signal processing techniques related to Nyquist sampling theory. The position is aimed at developing new techniques for identifying heat sources in devices that probed with thermoreflectance imaging techniques and in developing rapid measurement techniques for this problem.
Key responsibilities will include but are not limited to:
  • Design, implement, and analyze new algorithms for heat source localization of thermoreflectance images;
  • Design, implement, and analyze new techniques for sampling thermoreflectance images with compressed sensing, adaptive Gaussian processes, or similar sub-Nyquist sampling techniques;
  • Dissemination of research in internal and external publications and presentations;
  • Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization.

Qualifications
  • A doctoral degree in Applied Mathematics, Electrical Engineering, Computer Science, Engineering, Physics, or a related field.
  • Familiarity with the theory of mathematical inverse problems, forward modeling with differential equations, and a basic understanding of signal processing.
  • Experience with Matlab and/or Python for scientific computing.
  • Experience analyzing datasets of measured physical data.
  • Strong oral and written communication skills.

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
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