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Signal Processing Engineer Jobs in Raleigh, NC (NOW HIRING)

Ramona

Computational Imaging Engineer

Durham, NC · On-site

$107K - $127K/yr

... signal processing, and linear algebra. • Hands-on experience with image deconvolution, deblurring, or related inverse-problem techniques. • Experience characterizing noise, background, or ...

CoVar

Software Engineer

Durham, NC

Software Engineer About CoVar CoVar is a small, mission-driven AI/ML R&D software company based in ... Experience with signal processing, pattern recognition, image processing, and/or machine learning ...

Signalscape, Inc

DSP Software Engineer

Cary, NC · On-site

$120K - $170K/yr

Signalscape has supplied engineering services and products used for defense, intelligence, and law ... Knowledge of signal processing algorithms/techniques. * U.S. Citizenship Required: Due to the ...

Analogdevices

LTspice Modeling Engineer

Durham, NC

LTspice Modeling Engineer - Senior Level Position Analog Devices, Durham, NC, Wilmington, MA Analog ... signal processing (DSP) integrated circuits (ICs) used in virtually all types of electronic ...

Analog Devices

LTspice Modeling Engineer

Durham, NC · On-site

LTspice Modeling Engineer - Senior Level Position Analog Devices, Durham, NC, Wilmington, MA Analog ... signal processing (DSP) integrated circuits (ICs) used in virtually all types of electronic ...

Signalscape

SDR Software Engineer

Cary, NC

$90K - $120K/yr

\n \n \n Signalscape has supplied engineering services and products used for defense, intelligence ... Apply understanding of RF signal processing, specifically related to Wi\-Fi (802.11 a,b,g,n,ac,ax ...

Teledyne FLIR LLC

Research Scientist

Durham, NC · On-site

Perform sophisticated signal processing, statistical analysis, and systems engineering tasks * Support hardware/software integration, testing, and evaluation of applied technologies * Contribute to ...

Teledyne

Research Scientist

Durham, NC

Perform sophisticated signal processing, statistical analysis, and systems engineering tasks * Support hardware/software integration, testing, and evaluation of applied technologies * Contribute to ...

Signalscape

DSP Software Engineer

Cary, NC

$120K - $170K/yr

\n \n \n \n \n Signalscape has supplied engineering services and products used for defense ... Knowledge of signal processing algorithms\/techniques. \n * U.S. Citizenship Required: Due to the ...

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All JobsSignal Processing Engineer JobsSignal Processing Engineer Jobs in Raleigh, NC

Signal Processing Engineer information

See Raleigh, NC salary details

$52K

$127.7K

$188.1K

How much do signal processing engineer jobs pay per year?

As of Jul 4, 2026, the average yearly pay for signal processing engineer in Raleigh, NC is $127,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $143,400.00 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.
More about Signal Processing Engineer jobs
What are popular job titles related to Signal Processing Engineer jobs in Raleigh, NC? For Signal Processing Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Signal Processing Engineer jobs in Raleigh, NC look for? The top searched job categories for Signal Processing Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Signal Processing Engineer jobs? Cities near Raleigh, NC with the most Signal Processing Engineer job openings:
Signal Processing Engineer jobs near you
Infographic showing various Signal Processing Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $127,682 per year, or $61.4 per hour.
Computational Imaging Engineer

Computational Imaging Engineer

Ramona

Durham, NC • On-site

$107K - $127K/yr

Full-time

Posted 4 days ago

Job description

Job Summary:
Ramona is reimagining microscopy for modern biology. They are seeking a Computational Imaging Engineer to develop calibration procedures and improve image quality for their Multi-Camera Array Microscope platform.
Responsibilities:
• Develop rigorous, systematic, and mathematically grounded calibration procedures for multi-axis, multi-magnification optical instruments.
• Characterize sensor and image noise sources and build models to quantify and correct for them.
• Model and correct optical and geometric image deformations introduced by the imaging system.
• Design and implement high-performance deconvolution algorithms to recover image detail across a range of numerical apertures.
• Develop methods for background estimation, source characterization, and background subtraction in microscopy images.
• Characterize how motion-system accuracy and mechanical vibration affect image formation, and develop approaches to mitigate their impact.
• Characterize illumination sources and their contribution to image quality, and develop correction strategies.
• Characterize fluorescence imaging performance — including excitation/emission behavior, photobleaching, spectral crosstalk, and signal-to-background ratio — across magnifications and sample types, as a critical input to system calibration.
• Investigate the optical properties of diverse sample materials and assess their variability, building this understanding into the system's calibration and analysis pipelines.
• Translate optical systems models and computer vision techniques into robust, production-ready software that integrates with the broader imaging platform.
• Collaborate closely with optics, mechatronics, and software engineers to validate calibration approaches against real instrument behavior.
• Document calibration methodologies, models, and validation procedures for internal and external use.
• Evaluate and adopt emerging techniques in computational imaging, optical systems modeling, and computer vision to improve calibration accuracy and scalability.
Qualifications:
Required:
• Bachelor's or Master's degree in Optical Engineering, Physics, Electrical Engineering, or a related field (or equivalent experience).
• 2+ years of experience.
• Strong foundation in the mathematics and physics underlying image formation, including Fourier optics, signal processing, and linear algebra.
• Hands-on experience with image deconvolution, deblurring, or related inverse-problem techniques.
• Experience characterizing noise, background, or illumination effects in optical or imaging systems.
• Experience with geometric or optical calibration of imaging or measurement systems.
• Strong proficiency in Python (or similar) for scientific computing and image processing.
• Familiarity with how mechanical accuracy, vibration, or motion-system behavior affects image quality.
• Strong problem-solving skills, attention to detail, and scientific curiosity.
• Ability to communicate clearly and collaborate across disciplines spanning optics, mechatronics, and software.
• Experience with computer vision techniques relevant to image registration, restoration, or quantitative analysis.
Preferred:
• Master's or Ph.D. degree in Optics, Physics, or a closely related field.
• 5+ years of experience.
• Experience with optical systems modeling or simulation tools.
• Experience working on multi-axis or multi-magnification imaging instruments.
Company:
Ramona develops high-throughput microscopy tools to unlock previously impossible experiments within the modern biology lab. Founded in 2018, the company is headquartered in Durham, USA, with a team of 11-50 employees. The company is currently Early Stage.

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