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Signal Processing Engineer Jobs in Utah (NOW HIRING)

Digital signal processing * Probability theory * Stochastic signal processing * RF and electromagnetic theory Qualifications We Prefer * Master's degree in electrical engineering or computer ...

Digital signal processing What You Will Do * Perform and/or evaluate concept and performance trade ... Provide engineering support through participation in project design reviews, peer reviews ...

Digital signal processing What You Will Do * Perform and/or evaluate concept and performance trade ... Provide engineering support through participation in project design reviews, peer reviews ...

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Signal Processing Engineer information

See Utah salary details

$48.7K

$119.6K

$176.2K

How much do signal processing engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for signal processing engineer in Utah is $119,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,800.00 and $134,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a signal processing engineer, and why are they important?

To thrive as a Signal Processing Engineer, you need a strong background in mathematics, digital signal processing theory, and programming, typically supported by a degree in electrical engineering or a related field. Familiarity with tools such as MATLAB, Python, DSP hardware platforms, and relevant certifications like Certified LabVIEW Developer are highly beneficial. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills in this role. These skills and qualities ensure accurate analysis, efficient design, and successful implementation of signal processing solutions in diverse technical environments.

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

AspectSignal Processing EngineerCommunications Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Signal Processing, or related fieldsBachelor's or Master's in Electrical Engineering, Communications, or related fields
Work EnvironmentResearch labs, tech companies, R&D departmentsTelecom companies, network providers, infrastructure firms
Industry UsageDesigning algorithms for audio, video, radar, and sensor dataDeveloping and maintaining communication systems and networks
Search & Comparison IntentFocuses on signal analysis, filtering, and data processingFocuses on network design, protocols, and transmission systems

While both roles involve electrical engineering principles, Signal Processing Engineers primarily develop algorithms for analyzing and filtering signals, whereas Communications Engineers focus on designing and maintaining communication systems and networks. The roles often overlap in telecommunications, but their core responsibilities differ based on the specific application and industry focus.

What does a signal processing engineer do?

A Signal Processing Engineer designs, develops, and implements algorithms and systems to analyze, modify, and interpret signals such as audio, video, radar, or sensor data. They work with both analog and digital signals to extract meaningful information, improve signal quality, and enable communication between devices. Their work is essential in industries like telecommunications, healthcare (medical imaging), audio engineering, and defense. Signal Processing Engineers often use programming languages like MATLAB or Python, and work closely with hardware and software teams to optimize system performance.

What does a signal processing engineer do?

A signal processing engineer is an information technologies expert that analyzes and alters digital signals to make them more accurate and reliable. As a signal processing engineer, your responsibilities are to develop, manage and update digital signals, creating algorithms to process them more efficiently. Qualifications for a signal processing engineer include a bachelor’s degree in electrical or computer engineering, math, or physics, and skills in various programming languages, like C++. You can find signal processing engineer jobs in a wide variety of industries from security to logistics.

What are some typical challenges signal processing engineers face when working on real-time systems?

Signal Processing Engineers working on real-time systems often encounter challenges related to processing speed, latency, and resource constraints. They must design algorithms that efficiently handle large volumes of data without sacrificing accuracy, all while operating within the hardware's computational limits. Collaborating closely with hardware engineers and software developers is common to ensure seamless integration and optimal system performance. Staying updated with the latest advancements in digital signal processing (DSP) tools and techniques also helps address these challenges effectively.

What job categories do people searching Signal Processing Engineer jobs in Utah look for?

The top searched job categories for Signal Processing Engineer jobs in Utah are:

What cities in Utah are hiring for Signal Processing Engineer jobs?

Cities in Utah with the most Signal Processing Engineer job openings:

What are popular job titles related to Signal Processing Engineer jobs in UT?

For Signal Processing Engineer jobs in UT, the most frequently searched job titles are:

Infographic showing various Signal Processing Engineer job openings in Utah as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution, with an average salary of $119,576 per year, or $57.5 per hour.

Entry-Level Radar Signal Processing Engineer

Space Dynamics Laboratory

Logan, UT • On-site

$69K - $119K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job ID: 9063
Date Posted: August 5, 2026
Space Dynamics Laboratory (SDL) is seeking an entry-level Radar Signal Processing Engineer to develop algorithms and software primarily for airborne intelligence, surveillance and reconnaissance applications within our C4ISR Systems Division. You will work as part of a team to create innovative solutions that turn raw radar signals into high quality data products. SDL typically works for DoW and other Government agencies, performing research and development to advance the state of the art in radar processing. The ideal candidate should possess familiarity in one or more of the following areas: software development, signal processing, radar phenomenology, radar processing, and image data visualization.
The Command, Control, Communications, Computers, Intelligence, Surveillance, and Reconnaissance (C4ISR) Systems Division delivers mission-critical solutions, specializing in cyber operations, information architecture, strategic deterrence, and ISR. Our division’s commitment to innovation and security enables us to provide critical solutions across defense, intelligence, and national security. Join our team and contribute to the next generation of defense technologies.
Key Responsibilities:

  • Designs and develops tools for organizing data and reading/writing data formats
  • Implements radar processing algorithms in software for integration into processing pipelines
  • Works with the team to explore new ideas, investigate options, and analyze trade spaces
  • Designs and conducts software tests
  • Performs radar system modeling and simulation

Required Qualifications:
  • Bachelor’s degree (completed within six months of the date posted) in electrical engineering, computer science, computer engineering, physics, or a related field
  • Must have a strong computing background and proficiency in C++ and MATLAB
  • Understanding of signal processing techniques and their application to radar
  • Excellent written and verbal communication skills
  • Must be able to work effectively both independently and as part of a team
  • Must be a U.S. citizen with the ability to obtain and maintain a U.S. Government security clearance
  • Some travel may be required

Preferred Qualifications:
  • Master’s degree in electrical engineering, computer science, computer engineering, physics, or a related field
  • Familiarity with algorithms including synthetic aperture radar, moving target indication, and STAP processing

*Salary Range
  • $69,000 - $119,000
    • Salary commensurate on education and relevant experience


This range serves as a general guideline and may vary based on factors such as role, level, location, market conditions, and individual qualifications, including job-related skills, experience, and relevant education or training. The range displayed in the job advertisement reflects the minimum and maximum target salaries across all US locations. Specific salary details for a candidate’s preferred location can be provided by the recruiter or HR manager during the hiring process.
Why Join SDL?
*SDL offers competitive salaries and a comprehensive benefits package. Visit our Benefits Page to learn more about what we offer.
SDL delivers advanced multi-domain solutions to protect national security and enable scientific discovery. Our expertise in satellites, sensors and instruments, ground systems and data processing, and autonomous systems plays a critical role in missions supporting NASA and the Department of Defense. Join our team of engineers, scientists, technicians, and business professionals in our seventh decade of delivering mission success.
At SDL, we strive to uphold a culture of respect, collaboration, empowerment, and accountability. We listen with open minds, seek to understand diverse perspectives, and engage in thoughtful dialogue. We work together by sharing knowledge, involving others, and offering support. We trust and empower our team members to take ownership, act with integrity, and be accountable. Above all, we deliver on our commitments to each other and to our mission partners.
The application window for this position is expected to remain open for approximately 7 days; however, it may be shortened or extended depending on business needs and the availability of qualified candidates. We encourage interested candidates to submit their applications promptly.

For questions, assistance, or accommodation with the application process or the DoD SkillBridge program, please contact employment@sdl.usu.edu.

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