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Signal Processing Engineer information

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$52.8K

$129.6K

$191K

How much do signal processing engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for signal processing engineer in California is $129,629.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $145,600.00 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 the most commonly searched types of Signal Processing Engineer jobs in California? The most popular types of Signal Processing Engineer jobs in California are:
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What cities in California are hiring for Signal Processing Engineer jobs? Cities in California with the most Signal Processing Engineer job openings:
What are popular job titles related to Signal Processing Engineer jobs in CA? For Signal Processing Engineer jobs in CA, the most frequently searched job titles are:
Signal Processing Engineer jobs near you
Infographic showing various Signal Processing Engineer job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $129,629 per year, or $62.3 per hour.

Image Processing Engineer IV

Karl Storz GmbH & Co. KG

Goleta, CA • On-site

Other

Medical, Vision

Posted 11 days ago

Job description

At KARL STORZ, we're dedicated to advancing medical technology and improving patient care. We're seeking a talented Senior Image Processing Engineer to join our team and play a key role in developing cutting-edge camera image processing solutions for medical devices.

 

About the Role

As a Senior Image Processing Engineer, you'll design, analyze, and implement advanced image and video processing methods for our camera products. You will utilize the latest technologies, including in Image Processing, Digital Signal Processing and Artificial Intelligence. You'll lead the development of innovative solutions, collaborate with cross-functional teams, and mentor junior engineers. Your expertise will directly impact the quality of medical imaging and patient care.

 

Key Responsibilities

  • Develop and implement image processing algorithms for camera systems
  • Perform system modeling, signal analysis, and characterization of imaging sensors
  • Develop and implement new features using classical DSP methods and/or Machine Learning models.
  • Design and verify FPGA-based modules using MATLAB-Simulink and/or GPU-based modules using CUDA and other tools.
  • Collaborate with project teams to define IP design architecture and ensure product quality
  • Provide technical leadership and mentorship to junior engineers
  • Support existing product lines and perform competitive evaluations

 

Requirements

  • Bachelor's degree in Electrical Engineering (Signal Processing emphasis) or equivalent
  • 10-12 years of experience in image processing or related field
  • Strong knowledge of medical device quality system regulations and standards
  • Experience with real-time algorithm development using MATLAB-Simulink, FPGA and/or GPU design tools.
  • Excellent communication and leadership skills

 

Nice to Have

  • Master's or Ph.D. in Image Processing or Digital Signal Processing
  • Experience with C, C++, CUDA, OpenCL, OpenGL, or OpenCV
  • Familiarity with endoscopy and digital system design

 

What You'll Need to Succeed

  • Visual acuity sufficient for testing
  • Ability to sit for extended periods and lift video equipment (approx. 20 lbs.)
  • Annual training in safety, regulatory compliance, and job-specific requirements

What We Offer

  • Opportunity to work on cutting-edge medical technology
  • Collaborative and dynamic work environment
  • Professional growth and development opportunities
  • Competitive compensation and benefits package

Who We Are:

KARL STORZ is an independent, family-owned company headquartered in Germany's renowned MedTech manufacturing region. For 80 years, we've pioneered the most groundbreaking innovations in endoscopic surgery, video imaging, and OR integration to benefit patients and healthcare providers alike. 

With more than 9,000 associates worldwide and 2,600 in the US, we pride ourselves on harnessing cutting-edge technology, precise workmanship, and unrivaled customer support to help healthcare facilities succeed. With onsite locations and field opportunities across the country, we attract a diverse and talented staff.  It's not just about the tools we create-it's about the lives we change, together.

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